Probabilistic Model Checking of Stochastic Reinforcement Learning Policies.
Dennis GrossHelge SpiekerPublished in: CoRR (2024)
Keyphrases
- model checking
- reinforcement learning
- optimal policy
- temporal logic
- finite state
- model checker
- temporal properties
- automated verification
- markov decision process
- formal verification
- reachability analysis
- computation tree logic
- formal specification
- partially observable markov decision processes
- finite state machines
- bounded model checking
- symbolic model checking
- epistemic logic
- markov decision processes
- pspace complete
- concurrent systems
- bayesian networks
- state space
- verification method
- formal methods
- process algebra
- markov decision problems
- monte carlo
- decision problems
- reward function
- transition systems
- asynchronous circuits
- reactive systems
- satisfiability problem
- timed automata
- optimal control
- partial observability
- temporally extended
- planning domains
- modal logic
- automated reasoning