252 search results - page 10 / 51 » Learning Partially Observable Action Models: Efficient Algor... |
126
click to vote
CVPR
2008
IEEE
16 years 1 months ago
2008
IEEE
Current approaches to pose estimation and tracking can be classified into two categories: generative and discriminative. While generative approaches can accurately determine human...
112
Voted
ATAL
2010
Springer
14 years 11 months ago
2010
Springer
PAC-MDP algorithms approach the exploration-exploitation problem of reinforcement learning agents in an effective way which guarantees that with high probability, the algorithm pe...
ML
2006
ACM
14 years 11 months ago
2006
ACM
Bridge bidding is considered to be one of the most difficult problems for game-playing programs. It involves four agents rather than two, including a cooperative agent. In additio...
ICML
2008
IEEE
16 years 13 days ago
2008
IEEE
Partially Observable Markov Decision Processes (POMDPs) have succeeded in planning domains that require balancing actions that increase an agent's knowledge and actions that ...
103
Voted
ECAI
2010
Springer
15 years 22 days ago
2010
Springer
Abstract. Infinite-horizon multi-agent control processes with nondeterminism and partial state knowledge have particularly interesting properties with respect to adaptive control, ...