Learning Partially Observable Deterministic Action Models.
Eyal AmirAllen ChangPublished in: J. Artif. Intell. Res. (2008)
Keyphrases
- action models
- partially observable
- reinforcement learning
- partial observations
- partially observable domains
- dynamical systems
- state space
- markov decision processes
- decision problems
- transfer learning
- goal directed
- ai planning
- learning algorithm
- infinite horizon
- machine learning
- supervised learning
- belief state
- partially observable markov decision processes
- prior knowledge
- orders of magnitude
- sufficient conditions
- reward function
- active learning
- inverse reinforcement learning
- spatio temporal