682 search results - page 137 / 137 » One-Counter Markov Decision Processes |
NECO
2007
13 years 4 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 ...
ICML
1996
IEEE
14 years 6 months ago
1996
IEEE
Some of the most successful recent applications of reinforcement learning have used neural networks and the TD algorithm to learn evaluation functions. In this paper, we examine t...