<--- Back to Details
| First Page | Document Content | |
|---|---|---|
 Date: 2012-05-08 10:32:01Artificial intelligence Behavior Reinforcement learning Q-learning Game theory SARSA Temporal difference learning Agent-based model Multi-agent system Statistics Behaviorism Learning |
Add to Reading List |
Theoretical Considerations of Potential-Based Reward Shaping for Multi-Agent Systems Sam Devlin Daniel Kudenko | REINFORCEMENT LEARNING FOR LIVE MUSICAL AGENTS Nick Collins University of Sussex ABSTRACT Current research programmes in computer music mayDocID: 1q53K - View Document |
 | Experiments with SARSA Eric B Baum Dennis Horte Chick Markley Azure Sky Research IncDocID: 1m1N0 - View Document |
 | Frequency Adjusted Multi-agent Q-learning Michael Kaisers and Karl Tuyls Maastricht University Maastricht, The Netherlands {michael.kaisers, k.tuyls} @maastrichtuniversity.nlDocID: 19XZj - View Document |
 | Playing Atari with Deep Reinforcement Learning Volodymyr Mnih Koray KavukcuogluDocID: 19Byv - View Document |
 | Multi-Agent, Reward Shaping for RoboCup KeepAway (Extended Abstract) Sam Devlin Marek Grze´sDocID: 15DqP - View Document |