1630 search results - page 144 / 326 » Coordinated Reinforcement Learning |
176
Voted
ECML
2006
Springer
15 years 7 months ago
2006
Springer
We target the problem of closed-loop learning of control policies that map visual percepts to continuous actions. Our algorithm, called Reinforcement Learning of Joint Classes (RLJ...
137
Voted
NIPS
2007
15 years 5 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...
101
Voted
ICML
2006
IEEE
16 years 4 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 ...
110
click to vote
ICCBR
2009
Springer
15 years 10 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...
122
Voted
ECML
1997
Springer
15 years 8 months 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...