9 search results - page 2 / 2 » Purely Epistemic Markov Decision Processes |
SODA
2010
ACM
14 years 2 months ago
2010
ACM
We study the computational complexity of some central analysis problems for One-Counter Markov Decision Processes (OC-MDPs), a class of finitely-presented, countable-state MDPs. O...
TACAS
2007
Springer
13 years 11 months ago
2007
Springer
We study and provide efficient algorithms for multi-objective model checking problems for Markov Decision Processes (MDPs). Given an MDP, M, and given multiple linear-time (ω-regu...
ECAI
2008
Springer
13 years 6 months ago
2008
Springer
Abstract. In the aftermath of a large-scale disaster, agents’ decisions derive from self-interested (e.g. survival), common-good (e.g. victims’ rescue) and teamwork (e.g. fire...
ECML
2007
Springer
13 years 11 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 ...