267 search results - page 24 / 54 » The Dynamics of Multi-Agent Reinforcement Learning |
81
Voted
NIPS
2008
14 years 11 months ago
2008
Many motor skills in humanoid robotics can be learned using parametrized motor primitives as done in imitation learning. However, most interesting motor learning problems are high...
ATAL
2007
Springer
15 years 3 months ago
2007
Springer
To cope with large scale, agents are usually organized in a network such that an agent interacts only with its immediate neighbors in the network. Reinforcement learning technique...
106
click to vote
AIIA
2007
Springer
15 years 3 months ago
2007
Springer
The application of Reinforcement Learning (RL) algorithms to learn tasks for robots is often limited by the large dimension of the state space, which may make prohibitive its appli...
WOSS
2004
ACM
15 years 3 months ago
2004
ACM
Components in a decentralised system are faced with uncertainty as how to best adapt to a changing environment to maintain or optimise system performance. How can individual compo...
CEC
2007
IEEE
15 years 4 months ago
2007
IEEE
— Environments with varying reward contingencies constitute a challenge to many living creatures. In such conditions, animals capable of adaptation and learning derive an advanta...