93 search results - page 13 / 19 » Learning action models for multi-agent planning |
ICALT
2008
IEEE
14 years 1 months ago
2008
IEEE
Students whose professional qualifications are gained through work placement-based learning are assessed as to their competency to carryout tasks. These students are usually suppo...
ICML
2010
IEEE
13 years 5 months ago
2010
IEEE
POMDPs are the models of choice for reinforcement learning (RL) tasks where the environment cannot be observed directly. In many applications we need to learn the POMDP structure ...
NIPS
2007
13 years 9 months ago
2007
Bayesian Reinforcement Learning has generated substantial interest recently, as it provides an elegant solution to the exploration-exploitation trade-off in reinforcement learning...
ATAL
2010
Springer
13 years 8 months ago
2010
Springer
Planning how to interact against bounded memory and unbounded memory learning opponents needs different treatment. Thus far, however, work in this area has shown how to design pla...
NIPS
1993
13 years 8 months ago
1993
Dynamic programming provides a methodology to develop planners and controllers for nonlinear systems. However, general dynamic programming is computationally intractable. We have ...