Reinforcement Learning for Omega-Regular Specifications on Continuous-Time MDP.

Amin Falah Shibashis Guha Ashutosh Trivedi

Published in: CoRR (2023)

Keyphrases

reinforcement learning
state space
markov decision processes
markov decision process
optimal policy
optimal control
semi markov decision process
markov chain
reinforcement learning algorithms
reward function
state and action spaces
action sets

function approximation
partially observable
action space
model free
stationary policies
heuristic search
state abstraction
high level
machine learning
average reward
markov decision problems

dynamic programming
policy iteration
continuous state spaces
multi agent
delay insensitive
factored markov decision processes
inverse reinforcement learning
policy search
approximate dynamic programming
dynamical systems
action selection

formal specification
finite state
learning process
reward shaping
continuous state
reinforcement learning methods
state action
markov processes
learning problems
planning problems
infinite horizon