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Safe Reinforcement Learning

Papers

Showing 126–150 of 306 papers

TitleStatusHype
Modeling Risk in Reinforcement Learning: A Literature Mapping—0
Learning Control Barrier Functions and their application in Reinforcement Learning: A Survey—0
Contingency-constrained economic dispatch with safe reinforcement learning—0
Learning a Shield from Catastrophic Action Effects: Never Repeat the Same Mistake—0
Context-Aware Safe Reinforcement Learning for Non-Stationary Environments—0
Safe Model-Based Reinforcement Learning for Systems with Parametric Uncertainties—0
Joint Learning of Policy with Unknown Temporal Constraints for Safe Reinforcement Learning—0
Iterative Reachability Estimation for Safe Reinforcement Learning—0
Improved Regret Bound for Safe Reinforcement Learning via Tighter Cost Pessimism and Reward Optimism—0
Constraint-Conditioned Policy Optimization for Versatile Safe Reinforcement Learning—0
Implicit Safe Set Algorithm for Provably Safe Reinforcement Learning—0
Lagrangian-based online safe reinforcement learning for state-constrained systems—0
A Safe Reinforcement Learning driven Weights-varying Model Predictive Control for Autonomous Vehicle Motion Control—0
A Safe Reinforcement Learning Algorithm for Supervisory Control of Power Plants—0
A CMDP-within-online framework for Meta-Safe Reinforcement Learning—0
Hierarchical Reinforcement Learning for Safe Mapless Navigation with Congestion Estimation—0
HASARD: A Benchmark for Vision-Based Safe Reinforcement Learning in Embodied Agents—0
A Review of Safe Reinforcement Learning Methods for Modern Power Systems—0
Guided Online Distillation: Promoting Safe Reinforcement Learning by Offline Demonstration—0
Gradient Shaping for Multi-Constraint Safe Reinforcement Learning—0
GenSafe: A Generalizable Safety Enhancer for Safe Reinforcement Learning Algorithms Based on Reduced Order Markov Decision Process Model—0
Constrained Cross-Entropy Method for Safe Reinforcement Learning—0
Adaptive Safe Reinforcement Learning-Enabled Optimization of Battery Fast-Charging Protocols—0
Fully Bayesian Recurrent Neural Networks for Safe Reinforcement Learning—0
From Text to Trajectory: Exploring Complex Constraint Representation and Decomposition in Safe Reinforcement Learning—0
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