688 search results - page 14 / 138 » Using reinforcement learning to adapt an imitation task |
ICML
2010
IEEE
15 years 22 days ago
2010
IEEE
We consider the problem of multi-task reinforcement learning where the learner is provided with a set of tasks, for which only a small number of samples can be generated for any g...
CIG
2005
IEEE
15 years 5 months ago
2005
IEEE
AbstractGroup utility functions are an extension of the common team utility function for providing multiple agents with a common reinforcement learning signal for learning cooperat...
ICML
2006
IEEE
16 years 14 days ago
2006
IEEE
We introduce the use of learned shaping rewards in reinforcement learning tasks, where an agent uses prior experience on a sequence of tasks to learn a portable predictor that est...
WOSS
2004
ACM
15 years 5 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...
AGENTS
1999
Springer
15 years 4 months ago
1999
Springer
In this paper, we present a novel multi-agent learning paradigm called team-partitioned, opaque-transition reinforcement learning (TPOT-RL). TPOT-RL introduces the concept of usin...