History-Based Controller Design and Optimization for Partially Observable MDPs.
Akshat KumarShlomo ZilbersteinPublished in: ICAPS (2015)
Keyphrases
- partially observable
- controller design
- markov decision processes
- markov decision problems
- reinforcement learning
- state space
- dynamical systems
- decision problems
- control system
- infinite horizon
- nonlinear systems
- control scheme
- control strategies
- belief state
- dynamic model
- optimal policy
- reward function
- dynamic programming
- dec pomdps
- genetic algorithm
- heuristic search
- markov chain
- policy iteration
- partially observable markov decision process
- planning domains
- computer simulation
- partially observable markov decision processes
- action space
- computational complexity