40 search results - page 3 / 8 » Learning Partially Observable Action Schemas |
121
Voted
COLT
2003
Springer
15 years 6 months ago
2003
Springer
We study on-line play of repeated matrix games in which the observations of past actions of the other player and the obtained reward are partial and stochastic. We define the Part...
128
Voted
AI
2007
Springer
15 years 1 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...
90
Voted
ICML
2008
IEEE
16 years 1 months 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 ...
91
Voted
AIPS
2004
15 years 2 months ago
2004
We present components of a system which uses statistical, corpus-based machine learning techniques to perform instantiated goal recognition -- recognition of both a goal schema an...
105
Voted
ECML
2007
Springer
15 years 7 months ago
2007
Springer
We present Policy Gradient Actor-Critic (PGAC), a new model-free Reinforcement Learning (RL) method for creating limited-memory stochastic policies for Partially Observable Markov ...