Learning to act using real-time dynamic programming

Markov decision processes in large state spaces

COLT '95 Proceedings of the eighth annual conference on Computational learning theory

Learning curve bounds for a Markov decision process with undiscounted rewards

COLT '96 Proceedings of the ninth annual conference on Computational learning theory

Locally Weighted Learning for Control

Artificial Intelligence Review - Special issue on lazy learning

Explanation-Based Learning and Reinforcement Learning: A Unified View

Machine Learning

Module-Based Reinforcement Learning: Experiments with a Real Robot

Machine Learning - Special issue on learning in autonomous robots

Colearning in Differential Games

Machine Learning

Elevator Group Control Using Multiple Reinforcement Learning Agents

Machine Learning

Exploration of Multi-State Environments: Local Measures and Back-Propagation of Uncertainty

Machine Learning

Toward robust agent control in open environments

AGENTS '00 Proceedings of the fourth international conference on Autonomous agents

Convergence Results for Single-Step On-PolicyReinforcement-Learning Algorithms

Machine Learning

Terrain coverage with ant robots: a simulation study

Proceedings of the fifth international conference on Autonomous agents

Efficient and inefficient ant coverage methods

Annals of Mathematics and Artificial Intelligence

Planning and Control in Artificial Intelligence: A Unifying Perspective

Applied Intelligence

Reinforcement Learning in the Multi-Robot Domain

Autonomous Robots

Module-Based Reinforcement Learning: Experiments with a Real Robot

Autonomous Robots

Learning of Sensor-Based Arm Motions while Executing High-Level Descriptions of Tasks

Autonomous Robots

Rollout Algorithms for Combinatorial Optimization

Journal of Heuristics

Rollout Algorithms for Stochastic Scheduling Problems

Journal of Heuristics

Book review: Evolutionary robotics: The biology, intelligence and technology of self-organizing machines by Stefano Nolfi and Dario Floreano

Artificial Life

A Sparse Sampling Algorithm for Near-Optimal Planning in Large Markov Decision Processes

Machine Learning

Variable Resolution Discretization in Optimal Control

Machine Learning

Recent Advances in Hierarchical Reinforcement Learning

Discrete Event Dynamic Systems

Towards Flexible Teamwork in Persistent Teams: Extended Report

Autonomous Agents and Multi-Agent Systems

Symbolic heuristic search for factored Markov decision processes

Eighteenth national conference on Artificial intelligence

Perspectives on artificial intelligence planning

Eighteenth national conference on Artificial intelligence

Controlling the learning process of real-time heuristic search

Artificial Intelligence

Weak, strong, and strong cyclic planning via symbolic model checking

Artificial Intelligence - special issue on planning with uncertainty and incomplete information

Contingent planning under uncertainty via stochastic satisfiability

Artificial Intelligence - special issue on planning with uncertainty and incomplete information

Recent Advances in Hierarchical Reinforcement Learning

Discrete Event Dynamic Systems

Learning-assisted automated planning: looking back, taking stock, going forward

AI Magazine

Distributed Reinforcement Learning Control for Batch Sequencing and Sizing in Just-In-Time Manufacturing Systems

Applied Intelligence

Review of "Using language" by Herbert H. Clark. Cambridge University Press 1996.

Computational Linguistics

Learning optimal dialogue strategies: a case study of a spoken dialogue agent for email

COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 2

Call admission control in cellular networks: a reinforcement learning solution

International Journal of Network Management

Dynamic Composition of Information Retrieval Techniques

Journal of Intelligent Information Systems

An experimental evaluation of reinforcement learning for gain scheduling

Design and application of hybrid intelligent systems

An Explicit Solution for the Value Function of a Priority Queue

Queueing Systems: Theory and Applications

P3VI: a partitioned, prioritized, parallel value iterator

ICML '04 Proceedings of the twenty-first international conference on Machine learning

Incremental heuristic search in AI

AI Magazine

A Comparison of Fast Search Methods for Real-Time Situated Agents

AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 2

Planning, learning and coordination in multiagent decision processes

TARK '96 Proceedings of the 6th conference on Theoretical aspects of rationality and knowledge

Heuristic search value iteration for POMDPs

UAI '04 Proceedings of the 20th conference on Uncertainty in artificial intelligence

An Architecture for Behavior-Based Reinforcement Learning

Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems

Bounded real-time dynamic programming: RTDP with monotone upper bounds and performance guarantees

ICML '05 Proceedings of the 22nd international conference on Machine learning

A Unified Analysis of Value-Function-Based Reinforcement Learning Algorithms

Neural Computation

Heuristic anytime approaches to stochastic decision processes

Journal of Heuristics

Autonomous shaping: knowledge transfer in reinforcement learning

ICML '06 Proceedings of the 23rd international conference on Machine learning

PAC model-free reinforcement learning

ICML '06 Proceedings of the 23rd international conference on Machine learning

A Neuro-Dynamic Programming-Based Optimal Controller for Tomato Seedling Growth in Greenhouse Systems

Neural Processing Letters

Causal Graph Based Decomposition of Factored MDPs

The Journal of Machine Learning Research

Solving large TÆMS problems efficiently by selective exploration and decomposition

Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems

A Q-decomposition and bounded RTDP approach to resource allocation

Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems

Learning how to combine sensory-motor functions into a robust behavior

Artificial Intelligence

Sequential Monte Carlo in reachability heuristics for probabilistic planning

Artificial Intelligence

On the convergence of stochastic iterative dynamic programming algorithms

Neural Computation

Learning Control Knowledge for Forward Search Planning

The Journal of Machine Learning Research

Automating spoken dialogue management design using machine learning: An industry perspective

Speech Communication

Adaptive multi-robot wide-area exploration and mapping

Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 1

Comparing real-time and incremental heuristic search for real-time situated agents

Autonomous Agents and Multi-Agent Systems

Probabilistic planning with clear preferences on missing information

Artificial Intelligence

The factored policy-gradient planner

Artificial Intelligence

Reinforcement distribution in fuzzy Q-learning

Fuzzy Sets and Systems

An Optimal Approximate Dynamic Programming Algorithm for the Lagged Asset Acquisition Problem

Mathematics of Operations Research

Reinforcement Learning: A Tutorial Survey and Recent Advances

INFORMS Journal on Computing

Solving concurrent Markov decision processes

AAAI'04 Proceedings of the 19th national conference on Artifical intelligence

Focused real-time dynamic programming for MDPs: squeezing more out of a heuristic

AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2

PPCP: efficient probabilistic planning with clear preferences in partially-known environments

AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1

Probabilistic temporal planning with uncertain durations

AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1

An algorithm better than AO*?

AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 3

Speeding up learning in real-time search via automatic state abstraction

AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 3

Potential-based shaping in model-based reinforcement learning

AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 2

Partitioned external-memory value iteration

AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 2

Conformant planning heuristics based on plan reuse in belief states

AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 3

An application of reinforcement learning to dialogue strategy selection in a spoken dialogue system for email

Journal of Artificial Intelligence Research

Value-function approximations for partially observable Markov decision processes

Journal of Artificial Intelligence Research

Restricted value iteration: theory and algorithms

Journal of Artificial Intelligence Research

mGPT: a probabilistic planner based on heuristic search

Journal of Artificial Intelligence Research

Decision-theoretic planning with non-Markovian rewards

Journal of Artificial Intelligence Research

Learning in real-time search: a unifying framework

Journal of Artificial Intelligence Research

FLUCAP: a heuristic search planner for first-order MDPs

Journal of Artificial Intelligence Research

Planning with durative actions in stochastic domains

Journal of Artificial Intelligence Research

Online planning algorithms for POMDPs

Journal of Artificial Intelligence Research

Reinforcement learning: a survey

Journal of Artificial Intelligence Research

Efficiently exploiting symmetries in real time dynamic programming

IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence

Topological value iteration algorithm for Markov decision processes

IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence

A hybridized planner for stochastic domains

IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence

Performance analysis of online anticipatory algorithms for large multistage stochastic integer programs

IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence

Real-time heuristic search with a priority queue

IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence

Hierarchical heuristic forward search in Stochastic domains

IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence

Efficiently exploiting symmetries in real time dynamic programming

IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence

Forward search value iteration for POMDPs

IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence

Faster heuristic search algorithms for planning with uncertainty and full feedback

IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence

Lookahead pathologies for single agent search

IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence

Robust planning with (L)RTDP

IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence

Exploiting structure in policy construction

IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2

Real-time search in non-deterministic domains

IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2

Solving POMDPs: RTDP-bel vs. point-based algorithms

IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence

Domain-independent, automatic partitioning for probabilistic planning

IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence

ReTrASE: integrating paradigms for approximate probabilistic planning

IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence

Optimal stochastic policies for distributed data aggregation in wireless sensor networks

IEEE/ACM Transactions on Networking (TON)

Customized learning algorithms for episodic tasks withacyclic state spaces

CASE'09 Proceedings of the fifth annual IEEE international conference on Automation science and engineering

Iterative Bounding LAO*

Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence