Learning Partially Observable Deterministic Action Models.
Eyal AmirAllen ChangPublished in: CoRR (2014)
Keyphrases
- action models
- partially observable
- partial observations
- partially observable domains
- reinforcement learning
- decision problems
- state space
- ai planning
- dynamical systems
- markov decision processes
- infinite horizon
- goal directed
- learning algorithm
- belief state
- prior knowledge
- reward function
- supervised learning
- machine learning
- planning domains
- human actions
- domain independent
- markov chain