Continuous Upper Confidence Trees

No abstract is available for this paper.

• Publication year

  2011

• Venue

  Learning and Intelligent Optimization

• Publication date

  2011-01-17

• Fields of study

  Mathematics, Computer Science

• Identifiers
  DOI 10.1007/978-3-642-25566-3_32
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Monte-Carlo Exploration for Deterministic Planning

  2009cited by this paper
• Optimal robust expensive optimization is tractable

  2009cited by this paper
• The Computational Intelligence of MoGo Revealed in Taiwan's Computer Go Tournaments

  2009cited by this paper
• Progressive Strategies for Monte-Carlo Tree Search

  2008cited by this paper
• Algorithms for Infinitely Many-Armed Bandits

  2008cited by this paper
• Simulation-Based Approach to General Game Playing

  2008cited by this paper
• Combining online and offline knowledge in UCT

  2007cited by this paper
• Modifications of UCT and sequence-like simulations for Monte-Carlo Go

  2007cited by this paper
• COMPUTING “ELO RATINGS” OF MOVE PATTERNS IN THE GAME OF GO

  2007influential reference
• Bandit Based Monte-Carlo Planning

  2006cited by this paper
• Missing Data in Kernel PCA

  2006cited by this paper
• Efficient Selectivity and Backup Operators in Monte-Carlo Tree Search

  2006influential reference
• Using Confidence Bounds for Exploitation-Exploration Trade-offs

  2003cited by this paper
• Asymptotically Efficient Adaptive Allocation Rules

  year unknowncited by this paper

• Online Navigation Planning for Long-term Autonomous Operation of Underwater Gliders

  2026cites this paper
• Case-Guided Sequential Assay Planning in Drug Discovery

  2026cites this paper
• Diffusion Tree Sampling: Scalable inference-time alignment of diffusion models

  2025cites this paper
• Gaussian Process Aggregation for Root-Parallel Monte Carlo Tree Search with Continuous Actions

  2025cites this paper
• AutoDiscovery: Open-ended Scientific Discovery via Bayesian Surprise

  2025cites this paper
• Quantum Circuit Design using a Progressive Widening Enhanced Monte Carlo Tree Search

  2025influential citation
• DrugMCTS: a drug repurposing framework combining multi-agent, RAG and Monte Carlo Tree Search

  2025cites this paper
• Boosting MCTS with Free Energy Minimization

  2025cites this paper
• MatRL: Provably Generalizable Iterative Algorithm Discovery via Monte-Carlo Tree Search

  2025cites this paper
• Action-Gradient Monte Carlo Tree Search for Non-Parametric Continuous (PO)MDPs

  2025cites this paper
• Risk-Aware Integrated Task and Motion Planning for Versatile Snake Robots Under Localization Failures

  2025cites this paper
• A Self-Interactive Action-Search Method for Autonomous Vehicle Parking with Gated Recurrent Temporal Modeling

  2025cites this paper
• Bayesian Optimization by Kernel Regression and Density-based Exploration

  2025cites this paper
• Experience-Driven Exploration for Efficient API-Free AI Agents

  2025cites this paper
• Wider or Deeper? Scaling LLM Inference-Time Compute with Adaptive Branching Tree Search

  2025cites this paper
• Unveiling Interesting Insights: Monte Carlo Tree Search for Knowledge Discovery

  2025cites this paper
• Scalable Decision-Making in Stochastic Environments through Learned Temporal Abstraction

  2025cites this paper
• Uncertainty-aware Planning with Inaccurate Models for Robotized Liquid Handling

  2025cites this paper
• Aristotle: IMO-level Automated Theorem Proving

  2025cites this paper
• Cislunar Space Domain Awareness Architecture Design and Analysis for Cooperative Agents

  2024cites this paper
• Dynamic Model Predictive Shielding for Provably Safe Reinforcement Learning

  2024cites this paper
• Efficient Monte Carlo Tree Search via On-the-Fly State-Conditioned Action Abstraction

  2024cites this paper
• Bayes Adaptive Monte Carlo Tree Search for Offline Model-based Reinforcement Learning

  2024influential citation
• ConstrainedZero: Chance-Constrained POMDP Planning using Learned Probabilistic Failure Surrogates and Adaptive Safety Constraints

  2024cites this paper
• Kov: Transferable and Naturalistic Black-Box LLM Attacks using Markov Decision Processes and Tree Search

  2024cites this paper
• Trajectory Optimization for Adaptive Informative Path Planning with Multimodal Sensing

  2024cites this paper
• Energy efficient deployment of aerial base stations for mobile users in multi-hop UAV networks

  2024cites this paper
• Data-driven dynamic police patrolling: An efficient Monte Carlo tree search

  2024cites this paper
• Improving Continuous Monte Carlo Tree Search for Identifying Parameters in Hybrid Gene Regulatory Networks

  2024cites this paper
• VerMCTS: Synthesizing Multi-Step Programs using a Verifier, a Large Language Model, and Tree Search

  2024cites this paper
• Planning for Long-Term Monitoring Missions in Time-Varying Environments

  2024cites this paper
• Interactively Learning the User's Utility for Best-Arm Identification in Multi-Objective Multi-Armed Bandits

  2024cites this paper
• BetaZero: Belief-State Planning for Long-Horizon POMDPs using Learned Approximations

  2023cites this paper
• Optimal Cislunar Architecture Design Using Monte Carlo Tree Search Methods

  2023cites this paper
• Modelling and optimisation of extinction actions for wildfire suppression

  2023cites this paper
• Falsifying Motion Plans of Autonomous Vehicles With Abstractly Specified Traffic Scenarios

  2023cites this paper
• Online POMDP planning with anytime deterministic optimality guarantees

  2023cites this paper
• A case study in AI-assisted board game design

  2023cites this paper
• Making Better Decision by Directly Planning in Continuous Control

  2023influential citation
• Adaptive Discretization using Voronoi Trees for Continuous POMDPs

  2023influential citation
• Preference learning for guiding the tree search in continuous POMDPs

  2023influential citation
• Towards sequential sensor placements on a wind farm to maximize lifetime energy and profit

  2023cites this paper
• A Surprisingly Simple Continuous-Action POMDP Solver: Lazy Cross-Entropy Search Over Policy Trees

  2023cites this paper
• Constrained Hierarchical Monte Carlo Belief-State Planning

  2023cites this paper
• A Cover Time Study of a non-Markovian Algorithm

  2023cites this paper
• Decentralized Decision Making over Random Graphs*

  2023cites this paper
• Tasking and Estimation for Minimum-Time Space Object Search and Recovery

  2022cites this paper
• Cooperative Trajectory Planning in Uncertain Environments With Monte Carlo Tree Search and Risk Metrics

  2022cites this paper
• Learning Object-Oriented Dynamics for Planning from Text

  2022cites this paper
• Monte-Carlo Tree-Search for Leveraging Performance of Blackbox Job-Shop Scheduling Heuristics

  2022cites this paper
• How Do We Fail? Stress Testing Perception in Autonomous Vehicles

  2022cites this paper
• Policy decision of curling in real competition scenes

  2022cites this paper
• Adaptive Discretization using Voronoi Trees for Continuous-Action POMDPs

  2022cites this paper
• Task-Directed Exploration in Continuous POMDPs for Robotic Manipulation of Articulated Objects

  2022cites this paper
• Online Planning for Constrained POMDPs with Continuous Spaces through Dual Ascent

  2022cites this paper
• Guiding Belief Space Planning with Learned Models for Interactive Merging

  2022cites this paper
• Predictive System Reconfiguration for Fulfillment of Future Mission Requirements

  2022cites this paper
• Master Computer Science Analyzing AI players on different Ticket to Ride variants

  2022cites this paper
• GrASP: Gradient-Based Affordance Selection for Planning

  2022cites this paper
• Learning Geometric Constraints in Task and Motion Planning

  2022cites this paper
• Achieving mouse-level strategic evasion performance using real-time computational planning

  2022influential citation
• Pruning Stochastic Game Trees Using Neural Networks for Reduced Action Space Approximation

  2022cites this paper
• Conditional Approximate Normalizing Flows for Joint Multi-Step Probabilistic Forecasting with Application to Electricity Demand

  2022cites this paper
• Sequential Bayesian Optimization for Adaptive Informative Path Planning with Multimodal Sensing

  2022cites this paper
• Capability-Aware Task Allocation and Team Formation Analysis for Cooperative Exploration of Complex Environments

  2022cites this paper
• Continuous Monte Carlo Graph Search

  2022influential citation
• Policy Gradient Algorithms with Monte Carlo Tree Learning for Non-Markov Decision Processes

  2022cites this paper
• Solving Multi-Period Financial Planning Models: Combining Monte Carlo Tree Search and Neural Networks

  2022cites this paper
• Policy Gradient Algorithms with Monte-Carlo Tree Search for Non-Markov Decision Processes

  2022cites this paper
• Bayesian Reinforcement Learning for Single-Episode Missions in Partially Unknown Environments

  2022cites this paper
• Optimality Guarantees for Particle Belief Approximation of POMDPs

  2022cites this paper
• Learning in continuous action space for developing high dimensional potential energy models

  2022cites this paper
• A survey on model-based reinforcement learning

  2022cites this paper
• Learning Tree Interpretation from Object Representation for Deep Reinforcement Learning

  2021cites this paper
• Adaptive Online Packing-guided Search for POMDPs

  2021cites this paper
• Monte Carlo Tree Search With Iteratively Refining State Abstractions

  2021influential citation
• Autonomous Vehicle Evaluation: A Comprehensive Survey on Modeling and Simulation Approaches

  2021cites this paper
• Artificial intelligence-based inventory management: a Monte Carlo tree search approach

  2021cites this paper
• Risk-Averse Bayes-Adaptive Reinforcement Learning

  2021cites this paper
• Finding Backdoors to Integer Programs: A Monte Carlo Tree Search Framework

  2021cites this paper
• Voronoi Progressive Widening: Efficient Online Solvers for Continuous State, Action, and Observation POMDPs

  2021influential citation
• Lila: Optimal Dispatching in Probabilistic Temporal Networks using Monte Carlo Tree Search

  2021influential citation
• A Modest Approach to Markov Automata

  2021cites this paper
• Vector Quantized Models for Planning

  2021cites this paper
• Optimality and Application of Tree Search Methods for POMDP-based Sensor Tasking

  2020cites this paper
• Time-Bounded Mission Planning in Time-Varying Domains with Semi-MDPs and Gaussian Processes

  2020cites this paper
• The Hierarchical Continuous Pursuit Learning Automation: A Novel Scheme for Environments With Large Numbers of Actions

  2020cites this paper
• Local Search for Policy Iteration in Continuous Control

  2020cites this paper
• Bayesian Optimized Monte Carlo Planning

  2020influential citation
• Dream and Search to Control: Latent Space Planning for Continuous Control

  2020cites this paper
• Spatial Privacy Pricing: The Interplay between Privacy, Utility and Price in Geo-Marketplaces

  2020cites this paper
• Continuous Control for Searching and Planning with a Learned Model

  2020cites this paper
• Marginal Utility for Planning in Continuous or Large Discrete Action Spaces

  2020cites this paper
• Scalable Multi-Agent Computational Guidance with Separation Assurance for Autonomous Urban Air Mobility

  2020cites this paper
• Tutorial on Sampling-based POMDP-planning for Automated Driving

  2020cites this paper
• Improving Automated Driving through Planning with Human Internal States

  2020influential citation
• Adaptive Stress Testing without Domain Heuristics using Go-Explore

  2020influential citation
• Parallelization of Monte Carlo Tree Search in Continuous Domains

  2020cites this paper
• Monte Carlo Tree Search Methods for Telescope Tasking

  2020cites this paper
• Adaptive Stress Testing: Finding Likely Failure Events with Reinforcement Learning

  2020cites this paper