30 search results - page 4 / 6 » Model-Based Average Reward Reinforcement Learning |
IJCAI
2001
13 years 7 months ago
2001
R-max is a very simple model-based reinforcement learning algorithm which can attain near-optimal average reward in polynomial time. In R-max, the agent always maintains a complet...
PRIMA
2009
Springer
14 years 9 days ago
2009
Springer
In this article, we propose a method to adapt stepsize parameters used in reinforcement learning for dynamic environments. In general reinforcement learning situations, a stepsize...
ALT
2006
Springer
14 years 2 months ago
2006
Springer
We address the problem of reinforcement learning in which observations may exhibit an arbitrary form of stochastic dependence on past observations and actions. The task for an age...
NECO
2007
13 years 5 months ago
2007
Learning agents, whether natural or artificial, must update their internal parameters in order to improve their behavior over time. In reinforcement learning, this plasticity is ...
IAT
2008
IEEE
14 years 6 days 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...