513 search results - page 74 / 103 » Metric learning for reinforcement learning agents |
ATAL
2008
Springer
15 years 2 months ago
2008
Springer
We study the problem of agents locating other agents that are both capable and willing to help complete assigned tasks. An agent incurs a fixed cost for each help request it sends...
98
Voted
PPSN
2004
Springer
15 years 5 months ago
2004
Springer
In Multi-Agent learning, agents must learn to select actions that maximize their utility given the action choices of the other agents. Cooperative Coevolution offers a way to evol...
111
Voted
AAAI
2010
15 years 2 months ago
2010
Policy search is a successful approach to reinforcement learning. However, policy improvements often result in the loss of information. Hence, it has been marred by premature conv...
98
Voted
TSMC
2008
15 years 12 days ago
2008
Learning Automata (LA) were recently shown to be valuable tools for designing Multi-Agent Reinforcement Learning algorithms. One of the principal contributions of LA theory is tha...
108
Voted
ATAL
2009
Springer
15 years 7 months ago
2009
Springer
In this paper, we study multi-agent economic systems using a recent approach to economic modeling called Agent-based Computational Economics (ACE): the application of the Complex ...