3084 search results - page 178 / 617 » Learning to Take Actions |
145
click to vote
ATAL
2007
Springer
15 years 10 months ago
2007
Springer
Temporal difference reinforcement learning algorithms are perfectly suited to autonomous agents because they learn directly from an agent’s experience based on sequential actio...
151
click to vote
ECTEL
2007
Springer
15 years 10 months ago
2007
Springer
Abstract. The goal of the APOSDLE (Advanced Process-Oriented SelfDirected Learning environment) project is to support work-integrated learning of knowledge workers. We argue that w...
199
click to vote
AGENTS
2001
Springer
15 years 9 months ago
2001
Springer
In this paper, we investigate the use of hierarchical reinforcement learning (HRL) to speed up the acquisition of cooperative multi-agent tasks. We introduce a hierarchical multi-a...
117
click to vote
ATAL
2007
Springer
15 years 10 months ago
2007
Springer
Classically, an approach to the multiagent policy learning supposed that the agents, via interactions and/or by using preliminary knowledge about the reward functions of all playe...
165
click to vote
AGENTS
1998
Springer
15 years 8 months ago
1998
Springer
Physical domains are notoriously hard to model completely and correctly, especially to capture the dynamics of the environment. Moreover, since environments change, it is even mor...