Keyphrases
- partially observable
- reinforcement learning
- partially observable domains
- markov decision processes
- state space
- markov decision problems
- dynamical systems
- partial observability
- decision problems
- hidden state
- optimal policy
- reward function
- partially observable environments
- partial observations
- sufficient conditions
- function approximation
- reinforcement learning algorithms
- action models
- infinite horizon
- action space
- fully observable
- dynamic programming
- model free
- multi agent
- learning algorithm
- markov decision process
- markov models
- finite state
- optimal control
- random walk
- bayesian networks
- machine learning