12 search results - page 3 / 3 » Critical factors in the empirical performance of temporal di... |
ATAL
2008
Springer
13 years 7 months ago
2008
Springer
Many multiagent problems comprise subtasks which can be considered as reinforcement learning (RL) problems. In addition to classical temporal difference methods, evolutionary algo...
ATAL
2008
Springer
13 years 7 months ago
2008
Springer
In reinforcement learning, least-squares temporal difference methods (e.g., LSTD and LSPI) are effective, data-efficient techniques for policy evaluation and control with linear v...