Surprising strategies obtained by stochastic optimization in partially observable games.
Marie-Liesse CauwetOlivier TeytaudPublished in: CoRR (2018)
Keyphrases
- stochastic optimization
- partially observable
- reinforcement learning
- dynamical systems
- decision problems
- multistage
- markov decision processes
- state space
- search strategies
- infinite horizon
- special case
- markov decision problems
- partial observability
- machine learning
- probability distribution
- optimal strategy
- dynamic programming