343 search results - page 5 / 69 » Action discovery for reinforcement learning |
ICML
2001
IEEE
14 years 8 months ago
2001
IEEE
IROS
2007
IEEE
14 years 1 months ago
2007
IEEE
: This paper presents a coarse coding technique and an action selection scheme for reinforcement learning (RL) in multi-dimensional and continuous state-action spaces following con...
ICML
2004
IEEE
14 years 8 months ago
2004
IEEE
Reinforcement learning deals with learning optimal or near optimal policies while interacting with the environment. Application domains with many continuous variables are difficul...
IAT
2003
IEEE
14 years 28 days ago
2003
IEEE
A gradient-based method for both symmetric and asymmetric multiagent reinforcement learning is introduced in this paper. Symmetric multiagent reinforcement learning addresses the ...
AAAI
2006
13 years 9 months ago
2006
My research attempts to address on-line action selection in reinforcement learning from a Bayesian perspective. The idea is to develop more effective action selection techniques b...