226 search results - page 2 / 46 » A Convergent Reinforcement Learning Algorithm in the Continu... |
ML
2000
ACM
13 years 5 months ago
2000
ACM
ECAI
2010
Springer
13 years 7 months ago
2010
Springer
This work presents a new approach that allows the use of cases in a case base as heuristics to speed up Multiagent Reinforcement Learning algorithms, combining Case-Based Reasoning...
AAAI
2012
11 years 8 months ago
2012
Markov decision processes (MDPs) are an established framework for solving sequential decision-making problems under uncertainty. In this work, we propose a new method for batchmod...
ICML
1995
IEEE
14 years 6 months ago
1995
IEEE
A number of reinforcement learning algorithms have been developed that are guaranteed to converge to the optimal solution when used with lookup tables. It is shown, however, that ...
ICAI
2004
13 years 7 months ago
2004
An explicit exploration strategy is necessary in reinforcement learning (RL) to balance the need to reduce the uncertainty associated with the expected outcome of an action and the...