1799 search results - page 79 / 360 » Filtered Reinforcement Learning |
179
Voted
AGENTS
2001
Springer
15 years 7 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...
114
click to vote
AGENTS
1999
Springer
15 years 6 months ago
1999
Springer
In this paper, we present a novel multi-agent learning paradigm called team-partitioned, opaque-transition reinforcement learning (TPOT-RL). TPOT-RL introduces the concept of usin...
120
click to vote
IJCNN
2006
IEEE
15 years 8 months ago
2006
IEEE
—This paper proposes a new architecture for robot control. A test scenario is outlined to test the proposed system and enable a comparison with an existing system, which is able ...
113
click to vote
ESOA
2006
15 years 6 months ago
2006
The research reported in this paper is concerned with assessing the usefulness of reinforcment learning (RL) for on-line calibration of parameters in evolutionary algorithms (EA). ...
104
click to vote
PKDD
2000
Springer
15 years 6 months ago
2000
Springer
This paper investigates the use of reinforcement learning in electric power system emergency control. The approach consists of using numerical simulations together with on-policy M...