192 search results - page 16 / 39 » Multi-agent Relational Reinforcement Learning |
NIPS
2003
13 years 8 months ago
2003
Significant plasticity in sensory cortical representations can be driven in mature animals either by behavioural tasks that pair sensory stimuli with reinforcement, or by electro...
AAAI
2010
13 years 9 months ago
2010
Policy search is a successful approach to reinforcement learning. However, policy improvements often result in the loss of information. Hence, it has been marred by premature conv...
ICML
2006
IEEE
14 years 8 months 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...
ATAL
2008
Springer
13 years 9 months ago
2008
Springer
The aim of transfer learning is to accelerate learning in related domains. In reinforcement learning, many different features such as a value function and a policy can be transfer...
FLAIRS
2008
13 years 9 months ago
2008
In the paper, we investigate the use of reinforcement learning in CBR for estimating and managing a legacy case base for playing the game of Tetris. Each case corresponds to a loc...