Risk Sensitive Model-Based Reinforcement Learning using Uncertainty Guided Planning.
Stefan Radic WebsterPeter FlachPublished in: CoRR (2021)
Keyphrases
- risk sensitive
- model based reinforcement learning
- markov decision processes
- markov decision problems
- expected utility
- partially observable
- decision theoretic
- planning under uncertainty
- decision theory
- utility function
- optimal control
- state space
- finite state
- reinforcement learning
- dynamic programming
- linear programming
- optimal policy
- decision processes
- heuristic search
- partially observable markov decision processes
- average cost
- planning problems
- policy iteration
- reinforcement learning algorithms
- domain independent
- infinite horizon
- decision problems
- initial state
- action space
- conditional probabilities