Linear least-squares algorithms for temporal difference learning

Technical Update: Least-Squares Temporal Difference Learning

Machine Learning

Relative Loss Bounds for Temporal-Difference Learning

Machine Learning

Least Squares Policy Evaluation Algorithms with Linear Function Approximation

Discrete Event Dynamic Systems

Reinforcement Learning in Situated Agents: Theoretical and Practical Solutions

EWLR-8 Proceedings of the 8th European Workshop on Learning Robots: Advances in Robot Learning

Least-Squares Methods in Reinforcement Learning for Control

SETN '02 Proceedings of the Second Hellenic Conference on AI: Methods and Applications of Artificial Intelligence

Chess Neighborhoods, Function Combination, and Reinforcement Learning

CG '00 Revised Papers from the Second International Conference on Computers and Games

Solving factored MDPs using non-homogeneous partitions

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

Least-squares policy iteration

The Journal of Machine Learning Research

Variance Reduction Techniques for Gradient Estimates in Reinforcement Learning

The Journal of Machine Learning Research

Extending XCSF beyond linear approximation

GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation

Improving generalization in the XCSF classifier system using linear least-squares

GECCO '05 Proceedings of the 7th annual workshop on Genetic and evolutionary computation

Hybrid least-squares methods for reinforcement learning

IEA/AIE'2003 Proceedings of the 16th international conference on Developments in applied artificial intelligence

A Generalized Kalman Filter for Fixed Point Approximation and Efficient Temporal-Difference Learning

Discrete Event Dynamic Systems

Automatic basis function construction for approximate dynamic programming and reinforcement learning

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

Performance Loss Bounds for Approximate Value Iteration with State Aggregation

Mathematics of Operations Research

Generalization in the XCSF Classifier System: Analysis, Improvement, and Extension

Evolutionary Computation

Analyzing feature generation for value-function approximation

Proceedings of the 24th international conference on Machine learning

Tracking value function dynamics to improve reinforcement learning with piecewise linear function approximation

Proceedings of the 24th international conference on Machine learning

Reinforcement learning for a biped robot based on a CPG-actor-critic method

Neural Networks

Model-Based Reinforcement Learning for Partially Observable Games with Sampling-Based State Estimation

Neural Computation

Restricted gradient-descent algorithm for value-function approximation in reinforcement learning

Artificial Intelligence

Learning near-optimal policies with Bellman-residual minimization based fitted policy iteration and a single sample path

Machine Learning

An analysis of linear models, linear value-function approximation, and feature selection for reinforcement learning

Proceedings of the 25th international conference on Machine learning

A semiparametric statistical approach to model-free policy evaluation

Proceedings of the 25th international conference on Machine learning

Preconditioned temporal difference learning

Proceedings of the 25th international conference on Machine learning

Sigma point policy iteration

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

Approximating Arbitrary Reinforcement Signal by Learning Classifier Systems using Micro Genetic Algorithm

Fundamenta Informaticae

Policy Iteration for Learning an Exercise Policy for American Options

Recent Advances in Reinforcement Learning

Projected equation methods for approximate solution of large linear systems

Journal of Computational and Applied Mathematics

Reinforcement Learning: A Tutorial Survey and Recent Advances

INFORMS Journal on Computing

Regularization and feature selection in least-squares temporal difference learning

ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning

Fast gradient-descent methods for temporal-difference learning with linear function approximation

ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning

Online exploration in least-squares policy iteration

Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 2

Least Squares SVM for Least Squares TD Learning

Proceedings of the 2006 conference on ECAI 2006: 17th European Conference on Artificial Intelligence August 29 -- September 1, 2006, Riva del Garda, Italy

Learning Representation and Control in Markov Decision Processes: New Frontiers

Foundations and Trends® in Machine Learning

Reinforcement learning for a CPG-driven biped robot

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

Incremental least-squares temporal difference learning

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

Hybrid least-squares algorithms for approximate policy evaluation

Machine Learning

Optimal Online Learning Procedures for Model-Free Policy Evaluation

ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part II

Efficient reinforcement learning using recursive least-squares methods

Journal of Artificial Intelligence Research

Natural actor-critic algorithms

Automatica (Journal of IFAC)

An Additive Reinforcement Learning

ICANN '09 Proceedings of the 19th International Conference on Artificial Neural Networks: Part I

Derivatives of logarithmic stationary distributions for policy gradient reinforcement learning

Neural Computation

Commentary---Perspectives on Stochastic Optimization Over Time

INFORMS Journal on Computing

A general fuzzified CMAC based reinforcement learning control for ship steering using recursive least-squares algorithm

Neurocomputing

Model-based least-squares policy evaluation

AI'03 Proceedings of the 16th Canadian society for computational studies of intelligence conference on Advances in artificial intelligence

Error Bounds for Approximations from Projected Linear Equations

Mathematics of Operations Research

Linear options

Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 1

Adaptive bases for reinforcement learning

ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part I

Revisiting natural actor-critics with value function approximation

MDAI'10 Proceedings of the 7th international conference on Modeling decisions for artificial intelligence

Sparse approximate dynamic programming for dialog management

SIGDIAL '10 Proceedings of the 11th Annual Meeting of the Special Interest Group on Discourse and Dialogue

Kalman temporal differences

Journal of Artificial Intelligence Research

Sample-efficient batch reinforcement learning for dialogue management optimization

ACM Transactions on Speech and Language Processing (TSLP)

Relational preference rules for control

Artificial Intelligence

Generalized TD Learning

The Journal of Machine Learning Research

Value function approximation in zero-sum markov games

UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence

Policy iteration for factored MDPs

UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence

Monte Carlo matrix inversion policy evaluation

UAI'03 Proceedings of the Nineteenth conference on Uncertainty in Artificial Intelligence

Minimax search and reinforcement learning for adversarial tetris

SETN'10 Proceedings of the 6th Hellenic conference on Artificial Intelligence: theories, models and applications

Q-Learning and Enhanced Policy Iteration in Discounted Dynamic Programming

Mathematics of Operations Research

Actor-Critic algorithm based on incremental least-squares temporal difference with eligibility trace

ICIC'11 Proceedings of the 7th international conference on Advanced Intelligent Computing Theories and Applications: with aspects of artificial intelligence

Letter to the editor: Asymptotic analysis of value prediction by well-specified and misspecified models

Neural Networks

ℓ1-Penalized projected bellman residual

EWRL'11 Proceedings of the 9th European conference on Recent Advances in Reinforcement Learning

Regularized least squares temporal difference learning with nested ℓ2 and ℓ1 penalization

EWRL'11 Proceedings of the 9th European conference on Recent Advances in Reinforcement Learning

Recursive least-squares learning with eligibility traces

EWRL'11 Proceedings of the 9th European conference on Recent Advances in Reinforcement Learning

Value function approximation through sparse bayesian modeling

EWRL'11 Proceedings of the 9th European conference on Recent Advances in Reinforcement Learning

Batch, off-policy and model-free apprenticeship learning

EWRL'11 Proceedings of the 9th European conference on Recent Advances in Reinforcement Learning

Approximating Arbitrary Reinforcement Signal by Learning Classifier Systems using Micro Genetic Algorithm

Fundamenta Informaticae

Adaptive reservoir computing through evolution and learning

Neurocomputing

Low complexity proto-value function learning from sensory observations with incremental slow feature analysis

ICANN'12 Proceedings of the 22nd international conference on Artificial Neural Networks and Machine Learning - Volume Part II

An efficient L2-norm regularized least-squares temporal difference learning algorithm

Knowledge-Based Systems

Performance bounds for λ policy iteration and application to the game of Tetris

The Journal of Machine Learning Research

Finite-sample analysis of least-squares policy iteration

The Journal of Machine Learning Research

A reinforcement learning approach to autonomous decision-making in smart electricity markets

Machine Learning

Reward shaping for statistical optimisation of dialogue management

SLSP'13 Proceedings of the First international conference on Statistical Language and Speech Processing

Better generalization with forecasts

IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence

Linear Bayesian reinforcement learning

IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence

Reinforcement learning algorithms with function approximation: Recent advances and applications

Information Sciences: an International Journal

Construction of approximation spaces for reinforcement learning

The Journal of Machine Learning Research

Dopamine ramps are a consequence of reward prediction errors

Neural Computation