453 search results - page 12 / 91 » Learning from actions not taken: a multiagent learning algor... |
144
click to vote
AI
2007
Springer
15 years 3 months ago
2007
Springer
AI planning requires the definition of action models using a formal action and plan description language, such as the standard Planning Domain Definition Language (PDDL), as inp...
112
click to vote
AI
2004
Springer
15 years 3 months ago
2004
Springer
Efficient Learning Equilibrium (ELE) is a natural solution concept for multi-agent encounters with incomplete information. It requires the learning algorithms themselves to be in ...
122
Voted
ICANN
1997
Springer
15 years 7 months ago
1997
Springer
We use simulated soccer to study multiagent learning. Each team's players (agents) share action set and policy but may behave differently due to position-dependent inputs. All...
124
click to vote
ICML
1999
IEEE
16 years 4 months ago
1999
IEEE
Imitation is actively being studied as an effective means of learning in multi-agent environments. It allows an agent to learn how to act well (perhaps optimally) by passively obs...
142
Voted
ICML
2003
IEEE
16 years 4 months ago
2003
IEEE
Learning in many multi-agent settings is inherently repeated play. This calls into question the naive application of single play Nash equilibria in multi-agent learning and sugges...