Introduction to Sequence Learning

Practical Issues in Temporal Difference Learning

Machine Learning

Self-Improving Reactive Agents Based on Reinforcement Learning, Planning and Teaching

Machine Learning

The evolution of strategies for multiagent environments

Adaptive Behavior

Learning to solve Markovian decision processes

Learning to solve Markovian decision processes

Learning a class of large finite state machines with a recurrent neural network

Neural Networks

Abstraction and approximate decision-theoretic planning

Artificial Intelligence

Multi-agent reinforcement learning: weighting and partitioning

Neural Networks

Introduction to Reinforcement Learning

Introduction to Reinforcement Learning

Neuro-Dynamic Programming

Neuro-Dynamic Programming

Artificial Neural Networks: Oscillations, Chaos, and Sequence Processing

Artificial Neural Networks: Oscillations, Chaos, and Sequence Processing

Dynamic Programming

Dynamic Programming

Reinforcement learning: a survey

Journal of Artificial Intelligence Research

Identifying hierarchical structure in sequences: a linear-time algorithm

Journal of Artificial Intelligence Research

Self-segmentation of sequences: automatic formation of hierarchiesof sequential behaviors

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics

Autonomous learning of sequential tasks: experiments and analyses

IEEE Transactions on Neural Networks