25 search results - page 4 / 5 » Learning by demonstration in repeated stochastic games |
NIPS
2007
13 years 7 months ago
2007
We study the problem of an apprentice learning to behave in an environment with an unknown reward function by observing the behavior of an expert. We follow on the work of Abbeel ...
ATAL
2006
Springer
13 years 10 months ago
2006
Springer
We address the problem of learning in repeated N-player (as opposed to 2-player) general-sum games. We describe an extension to existing criteria focusing explicitly on such setti...
ACL
2009
13 years 4 months ago
2009
In this paper, we present a reinforcement learning approach for mapping natural language instructions to sequences of executable actions. We assume access to a reward function tha...
ICML
2003
IEEE
14 years 7 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...
ATAL
2008
Springer
13 years 8 months ago
2008
Springer
We develop a novel mechanism for coordinated, distributed multiagent planning. We consider problems stated as a collection of single-agent planning problems coupled by common soft...