682 search results - page 94 / 137 » One-Counter Markov Decision Processes |
106
Voted
AIMSA
2004
Springer
15 years 4 months ago
2004
Springer
Multi-agent reinforcement learning (MARL) is an emerging area of research. However, it lacks two important elements: a coherent view on MARL, and a well-defined problem objective. ...
115
Voted
CONCUR
2006
Springer
15 years 4 months ago
2006
Springer
A stochastic graph game is played by two players on a game graph with probabilistic transitions. We consider stochastic graph games with -regular winning conditions specified as Ra...
103
Voted
AIPS
2008
15 years 3 months ago
2008
We address the problem of coordinating the plans and schedules for a team of agents in an uncertain and dynamic environment. Bounded rationality, bounded communication, subjectivi...
WSC
2008
15 years 3 months ago
2008
Reinforcement Learning (RL) is a simulation-based technique useful in solving Markov decision processes if their transition probabilities are not easily obtainable or if the probl...
125
Voted
EWRL
2008
15 years 2 months ago
2008
We consider reinforcement learning in the parameterized setup, where the model is known to belong to a parameterized family of Markov Decision Processes (MDPs). We further impose ...