Successive Convex Approximation Based Off-Policy Optimization for Constrained Reinforcement Learning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Signal Processing"
DOI: 10.1109/tsp.2022.3158737
Abstract: Constrained reinforcement learning (CRL), also termed as safe reinforcement learning, is a promising technique enabling the deployment of RL agent in real-world systems. In this paper, we propose a successive convex approximation based off-policy optimization… read more here.
Keywords: optimization; reinforcement learning; policy; constrained reinforcement ... See more keywords
Constrained Reinforcement Learning for Vehicle Motion Planning with Topological Reachability Analysis
Sign Up to like & getrecommendations! Published in 2022 at "Robotics"
DOI: 10.3390/robotics11040081
Abstract: Rule-based traditional motion planning methods usually perform well with prior knowledge of the macro-scale environments but encounter challenges in unknown and uncertain environments. Deep reinforcement learning (DRL) is a solution that can effectively deal with… read more here.
Keywords: constrained reinforcement; reinforcement learning; analysis; method ... See more keywords