R. Crites

Elevator Group Control Using Multiple Reinforcement Learning Agents

Andrew G. Barto, Robert H. Crites, A. Barto, 1998, Machine Learning.

An Actor/Critic Algorithm that is Equivalent to Q-Learning

Andrew G. Barto, Robert H. Crites, A. Barto, 1994, NIPS.

Large-scale dynamic optimization using teams of reinforcement learning agents

Andrew G. Barto, Robert H. Crites, A. Barto, 1996 .

Multiagent reinforcement learning in the Iterated Prisoner's Dilemma.

Robert H. Crites, T W Sandholm, R H Crites, 1996, Bio Systems.

Multi-period marketing-mix optimization with response spike forecasting

Naoki Abe, Hideyuki Mizuta, Rikiya Takahashi, 2014, IBM J. Res. Dev..

On Multiagent Q-Learning in a Semi-Competitive Domain

Tuomas Sandholm, Robert H. Crites, R. Crites, 1995, Adaption and Learning in Multi-Agent Systems.

Improving Elevator Performance Using Reinforcement Learning

Andrew G. Barto, Robert H. Crites, A. Barto, 1995, NIPS.

Collective Response Spike Prediction for Mutually Interacting Consumers

Naoki Abe, Hideyuki Mizuta, Rikiya Takahashi, 2013, 2013 IEEE 13th International Conference on Data Mining.