Safe reinforcement learning with stability guarantee for motion planning of autonomous vehicles
… utilized in autonomous vehicles do not consider safety, … safe RL in autonomous vehicles,
eg, [21], [22]. When the RL algorithm is applied to the motion planning of autonomous vehicles, …
eg, [21], [22]. When the RL algorithm is applied to the motion planning of autonomous vehicles, …
Adaptive safe reinforcement learning with full-state constraints and constrained adaptation for autonomous vehicles
… invariably requires that the full-state variables are constrained within the safety region even
… an adaptive safe reinforcement learning (RL) algorithm that invokes innovative safety-related …
… an adaptive safe reinforcement learning (RL) algorithm that invokes innovative safety-related …
Robust deep reinforcement learning for security and safety in autonomous vehicle systems
… Abstract—The dependence of autonomous vehicles (AVs) on … and a novel adversarial deep
reinforcement learning (RL) algorithm … the inter-vehicle optimal safe spacing and potentially …
reinforcement learning (RL) algorithm … the inter-vehicle optimal safe spacing and potentially …
Saint-acc: Safety-aware intelligent adaptive cruise control for autonomous vehicles using deep reinforcement learning
… safety, and driving comfort through dynamic adaptation of the inter-vehicle gap based on deep
reinforcement … and driving safety/comfort by effectively controlling the driving safety model …
reinforcement … and driving safety/comfort by effectively controlling the driving safety model …
Safe reinforcement learning for autonomous vehicles through parallel constrained policy optimization
… for autonomous vehicles confirm we can ensure safety while … that the policy cannot be
guaranteed to be safe, and the back-… Safety is the most basic requirement for autonomous vehicles…
guaranteed to be safe, and the back-… Safety is the most basic requirement for autonomous vehicles…
Reinforcement learning based safe decision making for highway autonomous driving
… that the safe decision making is the … autonomous navigation since at any moment the safe
decision boundary can be determined by means of kinematic information from nearby vehicles …
decision boundary can be determined by means of kinematic information from nearby vehicles …
Safe reinforcement learning for model-reference trajectory tracking of uncertain autonomous vehicles with model-based acceleration
… In this paper, we propose a novel safe model-based RL … trajectory tracking problem of uncertain
autonomous vehicles (AVs). … safe modelbased RL algorithm is proposed, where the safe …
autonomous vehicles (AVs). … safe modelbased RL algorithm is proposed, where the safe …
Safe reinforcement learning for autonomous vehicle using monte carlo tree search
… In this paper, we propose a safe reinforcement learning framework combined with … safe
reinforcement learning approach in simulation scenario built in SUMO. Autonomous vehicle …
reinforcement learning approach in simulation scenario built in SUMO. Autonomous vehicle …
Safe reinforcement learning-based driving policy design for autonomous vehicles on highways
… : Safe decision-making strategy of autonomous vehicles (AVs… This study develops a safe
reinforcement learning (safe-RL)-… the proposed safe-RL, where an upper layer executes a safe …
reinforcement learning (safe-RL)-… the proposed safe-RL, where an upper layer executes a safe …
Barrier Lyapunov function-based safe reinforcement learning for autonomous vehicles with optimized backstepping
… practically challenging for the wide deployment of autonomous vehicles. Safety-critical
systems in general, require safe performance even during the reinforcement learning (RL) period. …
systems in general, require safe performance even during the reinforcement learning (RL) period. …
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