Creativity and Markov Decision Processes.
Joonas LahikainenNadia M. AdyChristian GuckelsbergerPublished in: CoRR (2024)
Keyphrases
- markov decision processes
- finite state
- optimal policy
- reinforcement learning
- dynamic programming
- state space
- policy iteration
- decision theoretic planning
- planning under uncertainty
- finite horizon
- transition matrices
- risk sensitive
- partially observable
- model based reinforcement learning
- factored mdps
- average cost
- action space
- reward function
- infinite horizon
- markov decision process
- reachability analysis
- decision processes
- reinforcement learning algorithms
- search algorithm
- average reward
- action sets
- semi markov decision processes
- decision diagrams
- state and action spaces
- optimal solution