128 search results - page 9 / 26 » Hierarchically Optimal Average Reward Reinforcement Learning |
ICML
1999
IEEE
15 years 10 months ago
1999
IEEE
Consider the task of exploring the Web in order to find pages of a particular kind or on a particular topic. This task arises in the construction of search engines and Web knowled...
86
Voted
IAT
2008
IEEE
15 years 3 months ago
2008
IEEE
This paper extends the link between evolutionary game theory and multi-agent reinforcement learning to multistate games. In previous work, we introduced piecewise replicator dynam...
95
Voted
IAT
2007
IEEE
15 years 3 months ago
2007
IEEE
This paper proposes a mechanism of noise tolerance for reinforcement learning algorithms. An adaptive agent that employs reinforcement learning algorithms may receive and accumula...
ICML
2003
IEEE
15 years 10 months ago
2003
IEEE
The paper explores a very simple agent design method called Q-decomposition, wherein a complex agent is built from simpler subagents. Each subagent has its own reward function and...
GECCO
2004
Springer
15 years 2 months ago
2004
Springer
This paper introduces a gradient-based reward prediction update mechanism to the XCS classifier system as applied in neuralnetwork type learning and function approximation mechani...