Model-Based Reinforcement Learning for Approximate Optimal Control with Temporal Logic Specifications.
Max H. CohenCalin BeltaPublished in: CoRR (2021)
Keyphrases
- optimal control
- temporal logic
- model based reinforcement learning
- concurrent systems
- transition systems
- model checking
- reinforcement learning
- reactive systems
- bounded model checking
- model checker
- formal specification language
- markov decision processes
- dynamic programming
- formal specification
- modal logic
- control strategy
- linear temporal logic
- optimal control problems
- belief revision
- infinite horizon
- state space
- epistemic logic
- search algorithm