94 search results - page 6 / 19 » A Generalized Path Integral Control Approach to Reinforcemen... |
127
Voted
IJCAI
2003
15 years 4 months ago
2003
In this paper we describe an integrated multilevel learning approach to multiagent coalition formation in a real-time environment. In our domain, agents negotiate to form teams to...
122
Voted
ECML
2006
Springer
15 years 6 months ago
2006
Springer
Reinforcement learning in real-world domains suffers from three curses of dimensionality: explosions in state and action spaces, and high stochasticity. We present approaches that ...
128
Voted
ATAL
2009
Springer
15 years 9 months ago
2009
Springer
Multi-Agent Reinforcement Learning (MARL) algorithms suffer from slow convergence and even divergence, especially in largescale systems. In this work, we develop an organization-b...
138
Voted
JIRS
2000
15 years 2 months ago
2000
Agents (hardware or software) that act autonomously in an environment have to be able to integrate three basic behaviors: planning, execution, and learning. This integration is man...
101
Voted
ATAL
2009
Springer
15 years 9 months ago
2009
Springer
Reinforcement learning algorithms that use eligibility traces, such as Sarsa(λ), have been empirically shown to be effective in learning good estimated-state-based policies in pa...