417 search results - page 14 / 84 » The Dynamics of Reinforcement Learning in Cooperative Multia... |
AAMAS
2007
Springer
13 years 7 months ago
2007
Springer
An original Reinforcement Learning (RL) methodology is proposed for the design of multi-agent systems. In the realistic setting of situated agents with local perception, the task o...
IJCAI
2001
13 years 9 months ago
2001
AGENTS
2001
Springer
14 years 2 days ago
2001
Springer
AGENTS
1999
Springer
13 years 12 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...
IAT
2003
IEEE
14 years 26 days ago
2003
IEEE
This paper presents a multi-agent reinforcement learning bidding approach (MARLBS) for performing multi-agent reinforcement learning. MARLBS integrates reinforcement learning, bid...