Rational and Convergent Learning in Stochastic Games

No abstract is available for this paper.

• Publication year

  2001

• Venue

  International Joint Conference on Artificial Intelligence

• Publication date

  2001-08-04

• Fields of study

  Mathematics, Computer Science

• Identifiers

  No identifiers available.

• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Human Computer Interaction

  2015cited by this paper
• Argumentation-based negotiation

  2003cited by this paper
• The Humane Interface: New Directions for Designing Interactive Systems

  2002cited by this paper
• Winner determination in combinatorial auction generalizations

  2002cited by this paper
• Robust double auction protocol against false-name bids

  2001influential reference
• Price Formation in Double Auctions

  2001cited by this paper
• Auction Protocols for Decentralized Scheduling

  2001cited by this paper
• Convergence of Gradient Dynamics with a Variable Learning Rate

  2001cited by this paper
• Recognizing Time Pressure and Cognitive Load on the Basis of Speech: An Experimental Study

  2001cited by this paper
• When actions have consequences: empirically based decision making for intelligent user interfaces

  2001cited by this paper
• Truth revelation in rapid, approximately efficient combinatorial auctions

  2001cited by this paper
• Distributed Constraint Satisfaction： Foundations of Cooperation in Multi - Agent Systems

  2001cited by this paper
• Computational Aspects of Clearing Continuous Call Double Auctions with Assignment Constraints and Indivisible Demand

  2001cited by this paper
• Configurability within a multi-agent Web store shell

  2000cited by this paper
• Tools for Developing and Monitoring Agents in Distributed Multi-Agent Systems

  2000cited by this paper
• Agent interoperation across multiagent system boundaries

  2000cited by this paper
• Time, rate, and conditioning.

  2000cited by this paper
• Solving Combinatorial Auctions Using Stochastic Local Search

  2000cited by this paper
• A Multi-Agent Recommender System for Planning Meetings

  2000cited by this paper
• Combinatorial auctions for supply chain formation

  2000cited by this paper
• The games computers (and people) play

  2000cited by this paper
• Proceedings of the fourth international conference on Autonomous agents

  2000cited by this paper
• The effect of false-name declarations in mechanism design: towards collective decision making on the Internet

  2000cited by this paper
• Multiagent Systems: A Survey from a Machine Learning Perspective

  2000cited by this paper
• Learning to Predict Problematic Situations in a Spoken Dialogue System: Experiments with How May I Help You?

  2000cited by this paper
• Compositional design and reuse of a generic agent model

  2000cited by this paper
• Integer programming for combinatorial auction winner determination

  2000cited by this paper
• Towards a universal test suite for combinatorial auction algorithms

  2000cited by this paper
• MarketSAT: An Extremely Decentralized (but Really Slow) Algorithm for Propositional Satisfiability

  2000cited by this paper
• Dynamic pricing by software agents

  2000cited by this paper
• Nash Convergence of Gradient Dynamics in General-Sum Games

  2000cited by this paper
• eMediator: A Next Generation Electronic Commerce Server

  1999cited by this paper
• MailCat: an intelligent assistant for organizing e-mail

  1999cited by this paper
• An algorithmic framework for performing collaborative filtering

  1999cited by this paper
• Selectively materializing data in mediators by analyzing user queries

  1999cited by this paper
• A Limitation of the Generalized Vickrey Auction in Electronic Commerce: Robustness against False-name Bids

  1999cited by this paper
• Taming the Computational Complexity of Combinatorial Auctions: Optimal and Approximate Approaches

  1999cited by this paper
• Auction Theory: A Guide to the Literature

  1999cited by this paper
• An agent architecture for personalized Web stores

  1999influential reference
• Enabling Integrative Negotiations by Adaptive Software Agents

  1999cited by this paper
• Collaborative reputation mechanisms for online communities

  1999cited by this paper
• Proceedings of the 16th international joint conference on Artificial Intelligence - IJCAI '99

  1999influential reference
• Designing the user interface strategies for effective human-computer interaction

  1998cited by this paper
• Flexible double auctions for electronic commerce: theory and implementation

  1998cited by this paper
• Reaching Agreements Through Argumentation: A Logical Model and Implementation

  1998cited by this paper
• Multiagent Reinforcement Learning: Theoretical Framework and an Algorithm

  1998cited by this paper
• Boosting Combinatorial Search Through Randomization

  1998cited by this paper
• Stochastic Local Search-Methods

  1998cited by this paper
• Introduction to Reinforcement Learning

  1998cited by this paper
• Reinforcement learning

  1998cited by this paper
• Strategies for Querying Information Agents

  1998cited by this paper
• Gradient Descent for General Reinforcement Learning

  1998cited by this paper
• Evolution and learning in multiagent systems

  1998cited by this paper
• The Michigan Internet AuctionBot: a configurable auction server for human and software agents

  1998cited by this paper
• Bayesian learning in negotiation

  1998cited by this paper
• The Dynamics of Reinforcement Learning in Cooperative Multiagent Systems

  1998cited by this paper
• A firm real-time system implementation using commercial off-the-shelf hardware and free software

  1998cited by this paper
• Cooperative vs. Competitive Multi-Agent Negotiations in Retail Electronic Commerce

  1998cited by this paper
• A Framework for Argumentation-Based Negotiation

  1997cited by this paper
• Distributed Storage of Replicated Beliefs to Facilitate Recovery of Distributed Intelligent Agents

  1997cited by this paper
• On-line Learning and the Metrical Task System Problem

  1997cited by this paper
• A Framework for Developing Team Performance Measures in Training

  1997cited by this paper
• Bidding Mechanisms for Data Allocation in Multi-Agent Environments

  1997cited by this paper
• Models of Continual Computation

  1997cited by this paper
• Middle-Agents for the Internet

  1997cited by this paper
• Mechanism Design for Automated Negotiation, and its Application to Task Oriented Domains

  1996cited by this paper
• Learning Models of Intelligent Agents

  1996cited by this paper
• Multiagent reinforcement learning in the Iterated Prisoner's Dilemma.

  1996cited by this paper
• IJCAI-95 Workshop on Adaptation and Learning in Multiagent Systems

  1996cited by this paper
• The binding problem.

  1996cited by this paper
• Evolutionary Game Theory

  1996cited by this paper
• Kasbah: An Agent Marketplace for Buying and Selling Goods

  1996cited by this paper
• Letizia: An Agent That Assists Web Browsing

  1995cited by this paper
• Economic Mechanism Design for Computerized Agents

  1995influential reference
• Multiagent Negotiation under Time Constraints

  1995cited by this paper
• A Review of Rules of Encounter: Designing Conventions for Automated Negotiation

  1995cited by this paper
• Efficient algorithms for learning to play repeated games against computationally bounded adversaries

  1995cited by this paper
• Algorithms for Knapsack Problems

  1995cited by this paper
• Controlling Cooperative Problem Solving in Industrial Multi-Agent Systems Using Joint Intentions

  1995cited by this paper
• Improvements on a Heuristic Algorithm for Multiple-Query Optimization

  1994cited by this paper
• Markov Games as a Framework for Multi-Agent Reinforcement Learning

  1994cited by this paper
• Reinforcement Learning Algorithm for Partially Observable Markov Decision Problems

  1994cited by this paper
• Adaptive Load Balancing: A Study in Multi-Agent Learning

  1994cited by this paper
• Optimal speedup of Las Vegas algorithms

  1993cited by this paper
• Retrieving and Integrating Data from Multiple Information Sources

  1993cited by this paper
• LEARNING TO TAKE RISKS

  1992cited by this paper
• A dominant strategy double auction

  1992cited by this paper
• MERGING SEPARATELY GENERATED PLANS WITH RESTRICTED INTERACTIONS

  1992cited by this paper
• aHUGIN: A System Creating Adaptive Causal Probabilistic Networks

  1992cited by this paper
• A Guide to Completeness and Complexity for Modal Logics of Knowledge and Belief

  1992cited by this paper
• A Generic Model for Intelligent Negotiating Agents

  1992cited by this paper
• Bargaining and Markets

  1991cited by this paper
• Probabilistic reasoning in intelligent systems: Networks of plausible inference

  1991influential reference
• Reputation and Efficiency in Social Interactions: An Example of Network Effects

  1990cited by this paper
• Case-Based Planning: A Framework for Planning from Experience

  1990cited by this paper
• Games and Information

  1989cited by this paper
• Interacting WITH Computers

  1989cited by this paper
• An Analysis of Time-Dependent Planning

  1988cited by this paper
• Approximate Processing in Real-Time Problem Solving

  1988cited by this paper
• Introduction: designing interfaces for expert systems

  1987cited by this paper

• Target pursuit for multi-AUV system: zero-sum stochastic game with WoLF-PHC assisted

  2025cites this paper
• Task Collaborative Offloading for UAV-Assisted Edge Computing With Dynamic Pricing

  2025cites this paper
• Distributionally Robust Markov Games with Average Reward

  2025cites this paper
• Research on Simulation Models of Forward Market and Spot Market

  2024cites this paper
• Near-Optimal Policy Optimization for Correlated Equilibrium in General-Sum Markov Games

  2024cites this paper
• GOV-REK: Governed Reward Engineering Kernels for Designing Robust Multi-Agent Reinforcement Learning Systems

  2024cites this paper
• A multi-step minimax Q-learning algorithm for two-player zero-sum Markov games

  2024cites this paper
• Optimisation tool: Q-learning and its application in various fields

  2024cites this paper
• A Distributed Learning Algorithm for Communication Development

  2024cites this paper
• Enhancing Multi-Agent Robustness: Addressing the Off-Diagonal Problem with Population-Based Training

  2024cites this paper
• Q-Learning: Advancing various systems, including real and virtual environments – current and future states

  2024cites this paper
• An Improved Finite-time Analysis of Temporal Difference Learning with Deep Neural Networks

  2024cites this paper
• A Finite-Sample Analysis of Payoff-Based Independent Learning in Zero-Sum Stochastic Games

  2023influential citation
• Reinforcement Learning-Based Physical Cross-Layer Security and Privacy in 6G

  2023cites this paper
• Uncoupled and Convergent Learning in Two-Player Zero-Sum Markov Games

  2023influential citation
• Adversarial Decision-Making for Moving Target Defense: A Multi-Agent Markov Game and Reinforcement Learning Approach

  2023influential citation
• Fictitious Self-Play Reinforcement Learning with Expanding Value Estimation

  2023cites this paper
• Learning Complex Teamwork Tasks using a Given Sub-task Decomposition

  2023cites this paper
• Adaptive Resource Scheduling in Permissionless Sharded-Blockchains: A Decentralized Multiagent Deep Reinforcement Learning Approach

  2023influential citation
• Learning in Zero-Sum Markov Games: Relaxing Strong Reachability and Mixing Time Assumptions

  2023cites this paper
• A-PSRO: A Unified Strategy Learning Method with Advantage Function for Normal-form Games

  2023cites this paper
• SC-PSRO: A Unified Strategy Learning Method for Normal-form Games

  2023cites this paper
• Joint Resource Allocation and Drones Relay Selection for Large-Scale D2D Communication Underlaying Hybrid VLC/RF IoT Systems

  2023cites this paper
• Multi-robot Cooperation Learning Based on Univariate Search Technique and Deep Deterministic Policy Gradient

  2022cites this paper
• A Reputation-based Framework for Honest Provenance Reporting

  2022influential citation
• A Survey of Opponent Modeling in Adversarial Domains

  2022cites this paper
• Cooperation and Learning Dynamics under Wealth Inequality and Diversity in Individual Risk

  2022cites this paper
• Boosting denoisers with reinforcement learning for image restoration

  2022cites this paper
• Make Smart Decisions Faster: Deciding D2D Resource Allocation via Stackelberg Game Guided Multi-Agent Deep Reinforcement Learning

  2022cites this paper
• Optimal deployment of swarm positions in cooperative interception of multiple UAV swarms

  2022cites this paper
• Awareness and Adaptability in Multi-Agent Reinforcement Learning

  2022cites this paper
• Gradient Play in Stochastic Games: Stationary Points and Local Geometry

  2022cites this paper
• Modeling opponent learning in multiagent repeated games

  2022cites this paper
• Provably Efficient Actor-Critic for Risk-Sensitive and Robust Adversarial RL: A Linear-Quadratic Case

  2021cites this paper
• Searching with Opponent-Awareness

  2021cites this paper
• Near-Optimal Model-Free Reinforcement Learning in Non-Stationary Episodic MDPs

  2021cites this paper
• Reinforcement learning in robotic applications: a comprehensive survey

  2021cites this paper
• Decentralized Q-Learning in Zero-sum Markov Games

  2021cites this paper
• Deep multiagent reinforcement learning: challenges and directions

  2021cites this paper
• Last-iterate Convergence of Decentralized Optimistic Gradient Descent/Ascent in Infinite-horizon Competitive Markov Games

  2021influential citation
• Multi-Agent Coordination in Adversarial Environments through Signal Mediated Strategies

  2021cites this paper
• Multi-Agent Reinforcement Learning with Temporal Logic Specifications

  2021cites this paper
• The Value Function with Regret Minimization Algorithm for Solving the Nash Equilibrium of Multi-Agent Stochastic Game

  2021cites this paper
• Independent Learning in Stochastic Games

  2021cites this paper
• Gradient Play in Multi-Agent Markov Stochastic Games: Stationary Points and Convergence

  2021cites this paper
• On the complexity of computing Markov perfect equilibrium in general-sum stochastic games

  2021cites this paper
• Reinforcement Learning-Based Routing Protocols for Vehicular Ad Hoc Networks: A Comparative Survey

  2021influential citation
• Consensus Multiplicative Weights Update: Learning to Learn using Projector-based Game Signatures

  2021cites this paper
• Gradient Play in Stochastic Games: Stationary Points, Convergence, and Sample Complexity

  2021cites this paper
• Reinforcement Learning In Two Player Zero Sum Simultaneous Action Games

  2021cites this paper
• Online Double Oracle

  2021influential citation
• Anti-Jamming Game to Combat Intelligent Jamming for Cognitive Radio Networks

  2021cites this paper
• Fast Policy Extragradient Methods for Competitive Games with Entropy Regularization

  2021cites this paper
• Multiagent Deep Reinforcement Learning: Challenges and Directions Towards Human-Like Approaches

  2021cites this paper
• Deep Synoptic Monte Carlo Planning in Reconnaissance Blind Chess

  2021cites this paper
• Influencing Towards Stable Multi-Agent Interactions

  2021cites this paper
• Near-Optimal Regret Bounds for Model-Free RL in Non-Stationary Episodic MDPs

  2020cites this paper
• On Reinforcement Learning for Turn-based Zero-sum Markov Games

  2020cites this paper
• Intelligent Reflecting Surface Assisted Anti-Jamming Communications Based on Reinforcement Learning

  2020cites this paper
• Learning Nash Equilibria in Zero-Sum Stochastic Games via Entropy-Regularized Policy Approximation

  2020cites this paper
• Exploring communication protocols and centralized critics in multi-agent deep learning

  2020cites this paper
• A Multi-Agent Reinforcement Learning Approach for Dynamic Information Flow Tracking Games for Advanced Persistent Threats

  2020cites this paper
• AI-Toolbox: A C++ library for Reinforcement Learning and Planning (with Python Bindings)

  2020cites this paper
• Intelligent Reflecting Surface Assisted Anti-Jamming Communications: A Fast Reinforcement Learning Approach

  2020cites this paper
• Competitive Deep Reinforcement Learning over a Pokémon Battling Simulator

  2020cites this paper
• A Reinforcement Learning Approach for Dynamic Information Flow Tracking Games for Detecting Advanced Persistent Threats

  2020cites this paper
• Survey on cognitive anti-jamming communications

  2020influential citation
• Linear Last-iterate Convergence for Matrix Games and Stochastic Games

  2020cites this paper
• Towards Cooperative Learning Equilibrium in Reinforcement Learning (WORKING DRAFT)

  2020cites this paper
• Towards Cooperative Learning Equilibrium in Reinforcement Learning

  2020influential citation
• Multi-agent actor centralized-critic with communication

  2020cites this paper
• Towards cooperation in learning games

  2020cites this paper
• Improve Convergence Speed of Multi‐Agent Q‐Learning for Cooperative Task Planning

  2020cites this paper
• Introduction

  2020cites this paper
• Mean Field Game Guided Deep Reinforcement Learning for Task Placement in Cooperative Multiaccess Edge Computing

  2020cites this paper
• Poisoning finite-horizon Markov decision processes at design time

  2020cites this paper
• Improving trust and reputation assessment with dynamic behaviour

  2020cites this paper
• Traffic control for energy harvesting virtual small cells via reinforcement learning

  2020cites this paper
• Finite-Sample Analysis for SARSA and Q-Learning with Linear Function Approximation

  2019cites this paper
• Foolproof Cooperative Learning

  2019cites this paper
• A Generalized Minimax Q-Learning Algorithm for Two-Player Zero-Sum Stochastic Games

  2019cites this paper
• Multi Agent Reinforcement Learning

  2019cites this paper
• A Frequency-Hopping Game Between a Smart Jammer and a Cognitive Radio

  2019cites this paper
• Opponent Aware Reinforcement Learning

  2019cites this paper
• Multi-agent learning for security and sustainability

  2019influential citation
• Correlated Learning for Aggregation Systems

  2019cites this paper
• SmartGov: architecture générique pour la co-construction de politiques urbaines basée sur l'apprentissage par renforcement multi-agent. (Generic architecture for urban policies co-construction using multi-agent reinforcement learning)

  2019cites this paper
• Probabilistic Recursive Reasoning for Multi-Agent Reinforcement Learning

  2019cites this paper
• Using Machine Learning for Modeling Human Behavior and Analyzing Friction in Generalized Second Price Auctions

  2019cites this paper
• Deep Reinforcement Learning for Autonomous Internet of Things: Model, Applications and Challenges

  2019cites this paper
• Multi-agent Collaboration for Feasible Collaborative Behavior Construction and Evaluation*

  2019cites this paper
• Coordination in Adversarial Sequential Team Games via Multi-Agent Deep Reinforcement Learning

  2019cites this paper
• Learning Equilibria in Stochastic Information Flow Tracking Games with Partial Knowledge

  2019cites this paper
• learning with policy prediction in continuous state-action multi-agent decision processes

  2019cites this paper
• Spiking Neural Network Implementation on FPGA for Robotic Behaviour

  2019cites this paper
• Policy Optimization Provably Converges to Nash Equilibria in Zero-Sum Linear Quadratic Games

  2019cites this paper
• Swarms Can be Rational

  2019influential citation
• L G ] 2 9 M ay 2 01 9 A Theoretical Analysis of Deep Q-Learning

  2019influential citation
• Stochastic Dynamic Information Flow Tracking Game with Reinforcement Learning

  2019cites this paper
• Domain Transfer in Dialogue Systems without Turn-Level Supervision

  2019cites this paper