Off-Policy Temporal Difference Learning with Function Approximation

To Collect or Not to Collect? Machine Learning for Memory Management

Proceedings of the 2nd Java™ Virtual Machine Research and Technology Symposium

Least-squares policy iteration

The Journal of Machine Learning Research

Standard and averaging reinforcement learning in XCS

Proceedings of the 8th annual conference on Genetic and evolutionary 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

Reinforcement learning in the presence of rare events

Proceedings of the 25th international conference on Machine learning

An analysis of reinforcement learning with function approximation

Proceedings of the 25th international conference on Machine learning

Implementing Parametric Reinforcement Learning in Robocup Rescue Simulation

RoboCup 2007: Robot Soccer World Cup XI

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

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

Adaptive importance sampling with automatic model selection in value function approximation

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

Adaptive importance sampling for value function approximation in off-policy reinforcement learning

Neural Networks

Real-time reinforcement learning by sequential Actor-Critics and experience replay

Neural Networks

Least absolute policy iteration for robust value function approximation

ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation

Q-learning with linear function approximation

COLT'07 Proceedings of the 20th annual conference on Learning theory

An off-policy natural policy gradient method for a partial observable Markov decision process

ICANN'05 Proceedings of the 15th international conference on Artificial neural networks: formal models and their applications - Volume Part II

Reinforcement learning with partially known world dynamics

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

Policy improvement for POMDPs using normalized importance sampling

UAI'01 Proceedings of the Seventeenth conference on Uncertainty in artificial intelligence

Q-Learning and Enhanced Policy Iteration in Discounted Dynamic Programming

Mathematics of Operations Research

A survey of multi-objective sequential decision-making

Journal of Artificial Intelligence Research