163 search results - page 33 / 33 » Policy Gradient Methods for Robotics |
AGENTS
1999
Springer
14 years 4 days 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...
SSDBM
2000
IEEE
14 years 7 days ago
2000
IEEE
In a previous paper [Shoshani et al 99], we described a system called STACS (Storage Access Coordination System) for High Energy and Physics (HEP) experiments. These experiments g...
ATAL
2010
Springer
13 years 9 months ago
2010
Springer
This paper describes an algorithm, called CQ-learning, which learns to adapt the state representation for multi-agent systems in order to coordinate with other agents. We propose ...