Visual Learning-based Planning for Continuous High-Dimensional POMDPs.
Sampada DeglurkarMichael H. LimJohnathan TuckerZachary N. SunbergAleksandra FaustClaire J. TomlinPublished in: CoRR (2021)
Keyphrases
- visual learning
- high dimensional
- partially observable markov decision processes
- subspace learning
- object recognition
- partially observable
- integrating multiple
- belief state
- dimensionality reduction
- planning problems
- low dimensional
- belief space
- predictive state representations
- decision problems
- feature space
- reinforcement learning
- point based value iteration
- subject matter
- optimal policy
- planning domains
- high dimensionality
- nearest neighbor
- state space
- feature selection
- data sets
- linear combination
- image classification
- dynamic programming
- feature extraction
- learning algorithm