1262 search results - page 143 / 253 » Reinforcement Learning: An Introduction |
NIPS
2007
13 years 9 months ago
2007
We present four new reinforcement learning algorithms based on actor-critic and natural-gradient ideas, and provide their convergence proofs. Actor-critic reinforcement learning m...
ICML
2006
IEEE
14 years 9 months ago
2006
IEEE
We introduce relational temporal difference learning as an effective approach to solving multi-agent Markov decision problems with large state spaces. Our algorithm uses temporal ...
ICCBR
2009
Springer
14 years 2 months ago
2009
Springer
Positive transfer learning (TL) occurs when, after gaining experience from learning how to solve a (source) task, the same learner can exploit this experience to improve performanc...
IJCNN
2006
IEEE
14 years 2 months ago
2006
IEEE
Abstract— Groups of reinforcement learning agents interacting in a common environment often fail to learn optimal behaviors. Poor performance is particularly common in environmen...
ECML
1997
Springer
14 years 12 days ago
1997
Springer
\Ibots" (Integrating roBOTS) is a computer experiment in group learning. It is designed to understand how to use reinforcement learning to program automatically a team of robo...