Policy Explanation and Model Refinement in Decision-Theoretic Planning

No abstract is available for this paper.

• Publication year

  2013

• Venue

  Unknown venue

• Publication date

  2013-08-30

• Fields of study

  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.

• Iterative Model Refinement of Recommender MDPs Based on Expert Feedback

  2013cited by this paper
• An English-Language Argumentation Interface for Explanation Generation with Markov Decision Processes in the Domain of Academic Advising

  2013influential reference
• Planning with Markov Decision Processes: An AI Perspective

  2012cited by this paper
• The Academic Advising Planning Domain

  2012cited by this paper
• Classification and regression trees

  2012cited by this paper
• Reinforcement Learning with Human and MDP Reward

  2012cited by this paper
• Discounted continuous-time constrained Markov decision processes in Polish spaces

  2011cited by this paper
• Solutions to Factored MDPs with Imprecise Transition Probabilities 1

  2011cited by this paper
• Decision Theory Models for Applications in Artificial Intelligence: Concepts and Solutions

  2011cited by this paper
• A Natural Language Argumentation Interface for Explanation Generation in Markov Decision Processes

  2011influential reference
• Automated Refinement of Bayes Networks' Parameters based on Test Ordering Constraints

  2011cited by this paper
• Robust Policy Computation in Reward-Uncertain MDPs Using Nondominated Policies

  2010cited by this paper
• Evaluation Results for a Query-Based Diagnostics Application

  2010cited by this paper
• Monte Carlo Value Iteration for Continuous-State POMDPs

  2010cited by this paper
• Combining manual feedback with subsequent MDP reward signals for reinforcement learning

  2010cited by this paper
• Domain Knowledge Uncertainty and Probabilistic Parameter Constraints

  2009cited by this paper
• Learning Bayesian network parameters under incomplete data with domain knowledge

  2009cited by this paper
• Learning from measurements in exponential families

  2009cited by this paper
• A bayesian reinforcement learning approach for customizing human-robot interfaces

  2009cited by this paper
• Policy Explanation in Factored Markov Decision Processes

  2008cited by this paper
• Improving Bayesian Network parameter learning using constraints

  2008cited by this paper
• Integrating Probabilistic and Knowledge-Based Systems for Explanation Generation

  2008cited by this paper
• Explaining Task Processing in Cognitive Assistants that Learn

  2007cited by this paper
• A Survey of Explanations in Recommender Systems

  2007cited by this paper
• A new parameter Learning Method for Bayesian Networks with Qualitative Influences

  2007cited by this paper
• An MDP Approach for Explanation Generation

  2007cited by this paper
• Non-randomized policies for constrained Markov decision processes

  2007cited by this paper
• Partially Observable Markov Decision Processes ( POMDPs )

  2007cited by this paper
• Bounded Parameter Markov Decision Processes with Average Reward Criterion

  2007cited by this paper
• Assisting persons with dementia during handwashing using a partially observable Markov decision process.

  2007cited by this paper
• Explanation of Bayesian Networks and Influence Diagrams in Elvira

  2007cited by this paper
• Percentile optimization in uncertain Markov decision processes with application to efficient exploration

  2007cited by this paper
• A planning system based on Markov decision processes to guide people with dementia through activities of daily living

  2006cited by this paper
• Maximum margin planning

  2006cited by this paper
• Using inaccurate models in reinforcement learning

  2006cited by this paper
• Theory of Games and Economic Behavior

  2006influential reference
• Bayesian Network Learning with Parameter Constraints

  2006cited by this paper
• The Robustness-Performance Tradeoff in Markov Decision Processes

  2006cited by this paper
• Use of Elvira's explanation facility for debugging probabilistic expert systems

  2006cited by this paper
• Reinforcement Learning for MDPs with Constraints

  2006cited by this paper
• A Case-Based Explanation System for Black-Box Systems

  2005cited by this paper
• Robust Control of Markov Decision Processes with Uncertain Transition Matrices

  2005cited by this paper
• Learning from Sparse Data by Exploiting Monotonicity Constraints

  2005cited by this paper
• Exploiting structure to efficiently solve large scale partially observable Markov decision processes

  2005cited by this paper
• Explanation in Case-Based Reasoning–Perspectives and Goals

  2005cited by this paper
• Exploration and apprenticeship learning in reinforcement learning

  2005cited by this paper
• Fast Information Value for Graphical Models

  2005cited by this paper
• Integrating Learning from Examples into the Search for Diagnostic Policies

  2005cited by this paper
• Factors affecting the acceptance of expert advice.

  2005cited by this paper
• Information Theory, Inference, and Learning Algorithms

  2004cited by this paper
• Learning and Optimal Control of Imprecise Markov Decision Processes by Dynamic Programming Using the Imprecise Dirichlet Model

  2004cited by this paper
• Apprenticeship learning via inverse reinforcement learning

  2004cited by this paper
• Integrated Demonstration of Instrument Placement , Robust Execution and Contingent Planning

  2003cited by this paper
• Accelerating Reinforcement Learning through Implicit Imitation

  2003cited by this paper
• Experiences with a mobile robotic guide for the elderly

  2002cited by this paper
• Poet: the Online Preference Elicitation Tool *

  2002cited by this paper
• A review of explanation methods for Bayesian networks

  2002cited by this paper
• Explanation in Probabilistic Systems: Is It Feasible? Will It Work?

  2001cited by this paper
• Bounded-parameter Markov decision processes

  2000cited by this paper
• Stochastic dynamic programming with factored representations

  2000cited by this paper
• Exploiting Qualitative Knowledge in the Learning of Conditional Probabilities of Bayesian Networks

  2000cited by this paper
• Algorithms for Inverse Reinforcement Learning

  2000cited by this paper
• Explaining collaborative filtering recommendations

  2000cited by this paper
• Explanations From Intelligent Systems: Theoretical Foundations and Implications for Practice

  1999cited by this paper
• Constrained Markov Decision Processes

  1999cited by this paper
• SPUDD: Stochastic Planning using Decision Diagrams

  1999cited by this paper
• Implicit Imitation in Multiagent Reinforcement Learning

  1999cited by this paper
• Decision-Theoretic Planning: Structural Assumptions and Computational Leverage

  1999cited by this paper
• Reinforcement Learning: An Introduction

  1998cited by this paper
• Learning agents for uncertain environments (extended abstract)

  1998cited by this paper
• Defining Explanation in Probabilistic Systems

  1997cited by this paper
• Diagnostic Bayesian Networks

  1997cited by this paper
• Causal independence for probability assessment and inference using Bayesian networks

  1996cited by this paper
• Decision-theoretic troubleshooting

  1995cited by this paper
• Elicitation of Probabilities for Belief Networks: Combining Qualitative and Quantitative Information

  1995cited by this paper
• A simple approach to Bayesian network computations

  1994cited by this paper
• Markov Decision Processes with Imprecise Transition Probabilities

  1994cited by this paper
• Case-Based Reasoning: Foundational Issues, Methodological Variations, and System Approaches

  1994cited by this paper
• Reconstructive Expert System Explanation

  1992cited by this paper
• A procedure to test the suitability of a factor for stratification in estimating diversity

  1991cited by this paper
• Fundamental Concepts of Qualitative Probabilistic Networks

  1990cited by this paper
• Verbal Uncertainty Expressions : Literature Review

  1989cited by this paper
• Readings on the Principles and Applications of Decision Analysis

  1989cited by this paper
• Explaining control strategies in problem solving

  1989cited by this paper
• Probabilistic reasoning in intelligent systems

  1988cited by this paper
• Knowledge in flux: modeling the dynamics of epistemic states

  1988cited by this paper
• XPLAIN: A System for Creating and Explaining Expert Consulting Programs

  1983cited by this paper
• A Theory and Methodology of Inductive Learning

  1983cited by this paper
• The Epistemology of a Rule-Based Expert System - A Framework for Explanation

  1981cited by this paper
• A Digitalis Therapy Advisor with Explanations

  1977cited by this paper
• A framework for representing knowledge

  1974cited by this paper
• Decision Analysis: Introductory Lectures on Choices under Uncertainty.

  1969cited by this paper
• Information Value Theory

  1966influential reference
• MARKOVIAN DECISION PROCESSES WITH UNCERTAIN TRANSITION PROBABILITIES

  1965cited by this paper
• Control and Cybernetics Dynamic Programming in Constrained Markov Decision Processes

  year unknowncited by this paper
• Noname manuscript No. (will be inserted by the editor) A Survey of Point-Based POMDP Solvers

  year unknowncited by this paper

• Reinforcement Learning Interpretation Methods: A Survey

  2020cites this paper