Mark D. Pendrith

发表

Reinforcement learning in situated agents : Theoretical problems and practical solutions

Mark D. Pendrith, 2000 .

An Analysis of Direct Reinforcement Learning in Non-Markovian Domains

Mark D. Pendrith, Michael McGarity, Michael McGarity, 1998, ICML.

On Reinforcement Learning of Control Actions in Noisy and Non-Markovian Domains

Mark D. Pendrith, 1994 .

RL-TOPS: An Architecture for Modularity and Re-Use in Reinforcement Learning

Mark D. Pendrith, Malcolm R. K. Ryan, 1998, ICML.

On the Existence of Fixed Points for Q-Learning and Sarsa in Partially Observable Domains

Theodore J. Perkins, Mark D. Pendrith, T. Perkins, 2002, International Conference on Machine Learning.

Reinforcement Learning for Real-World Control Applications

Mark D. Pendrith, Malcolm R. K. Ryan, 1996, Canadian Conference on AI.

Distributed reinforcement learning for a traffic engineering application

Mark D. Pendrith, 2000, AGENTS '00.

Reinforcement Learning in Situated Agents: Theoretical and Practical Solutions

Mark D. Pendrith, 1999, EWLR.

C-Trace: A new algorithm for reinforcement learning of robotic control

Mark D. Pendrith, Malcolm Ryan, Malcolm R. K. Ryan, 1996 .

An Analysis of non-Markov Automata Games: Implications for Reinforcement Learning

Mark D. Pendrith, Michael McGarity, Michael McGarity, 1997 .

Actual Return Reinforcement Learning versus Temporal Differences: Some Theoretical and Experimental Results

Mark D. Pendrith, Malcolm R. K. Ryan, 1996, ICML.

Estimator Variance in Reinforcement Learning: Theoretical Problems and Practical Solutions

Mark D. Pendrith, Malcolm R. K. Ryan, 1997 .