3084 search results - page 84 / 617 » Learning to Take Actions |
121
Voted
ICML
2002
IEEE
16 years 4 months ago
2002
IEEE
We present several new algorithms for multiagent reinforcement learning. A common feature of these algorithms is a parameterized, structured representation of a policy or value fu...
119
Voted
RAS
2010
15 years 2 months ago
2010
Policy Reuse is a reinforcement learning technique that efficiently learns a new policy by using past similar learned policies. The Policy Reuse learner improves its exploration b...
144
Voted
AIPS
2010
15 years 6 months ago
2010
Compared to optimal planners, satisficing planners can solve much harder problems but may produce overly costly and long plans. Plan quality for satisficing planners has become in...
137
Voted
AIPS
1998
15 years 5 months ago
1998
Planning methods for deterministic planning problems traditionally exploit factored representations to encode the dynamics of problems in terms of a set of parameters, e.g., the l...
350
Voted
CVPR
2009
IEEE
16 years 10 months ago
2009
IEEE
The problem of recognizing actions in realistic videos
is challenging yet absorbing owing to its great potentials
in many practical applications. Most previous research is
limit...