K-spin Hamiltonian for quantum-resolvable Markov decision processes.
Eric B. JonesPeter A. GrafEliot KapitWesley B. JonesPublished in: CoRR (2020)
Keyphrases
- markov decision processes
- state space
- finite state
- policy iteration
- optimal policy
- reinforcement learning
- transition matrices
- decision theoretic planning
- dynamic programming
- action space
- decision processes
- reachability analysis
- reinforcement learning algorithms
- partially observable
- average reward
- state and action spaces
- factored mdps
- finite horizon
- planning under uncertainty
- infinite horizon
- risk sensitive
- data mining
- semi markov decision processes
- decision problems
- real time dynamic programming