Probabilistic Model Checking of Stochastic Reinforcement Learning Policies.
Dennis GrossHelge SpiekerPublished in: ICAART (3) (2024)
Keyphrases
- model checking
- reinforcement learning
- optimal policy
- temporal logic
- finite state
- automated verification
- model checker
- temporal properties
- formal verification
- symbolic model checking
- epistemic logic
- formal specification
- verification method
- computation tree logic
- pspace complete
- finite state machines
- formal methods
- markov decision process
- markov decision processes
- partial observability
- timed automata
- reachability analysis
- concurrent systems
- bounded model checking
- transition systems
- partially observable markov decision processes
- learning algorithm
- reward function
- monte carlo
- bayesian networks
- markov decision problems
- partially observable
- reinforcement learning algorithms
- state space
- dynamic programming
- linear temporal logic
- multi agent