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Safe Reinforcement Learning

Papers

Showing 251–300 of 306 papers

TitleStatusHype
Temporal-Logic-Based Intermittent, Optimal, and Safe Continuous-Time Learning for Trajectory Tracking—0
Barrier Function-based Safe Reinforcement Learning for Emergency Control of Power Systems—0
Automatic Exploration Process Adjustment for Safe Reinforcement Learning with Joint Chance Constraint Satisfaction—0
Safe Reinforcement Learning Using Robust Action Governor—0
On the Properties of Kullback-Leibler Divergence Between Multivariate Gaussian Distributions—0
Safe Learning and Optimization Techniques: Towards a Survey of the State of the Art—0
Context-Aware Safe Reinforcement Learning for Non-Stationary Environments—0
Learning for MPC with Stability & Safety Guarantees—0
A Safe Reinforcement Learning Architecture for Antenna Tilt Optimisation—0
Optimal Mixture Weights for Off-Policy Evaluation with Multiple Behavior Policies—0
CRPO: A New Approach for Safe Reinforcement Learning with Convergence Guarantee—0
Remote Electrical Tilt Optimization via Safe Reinforcement Learning—0
Safe Reinforcement Learning with Natural Language Constraints—0
A Primal Approach to Constrained Policy Optimization: Global Optimality and Finite-Time Analysis—0
Safe Model-Based Reinforcement Learning for Systems with Parametric Uncertainties—0
Responsive Safety in Reinforcement Learning by PID Lagrangian Methods—0
Safe Reinforcement Learning with Mixture Density Network: A Case Study in Autonomous Highway Driving—0
Accelerating Safe Reinforcement Learning with Constraint-mismatched Policies—0
FISAR: Forward Invariant Safe Reinforcement Learning with a Deep Neural Network-Based Optimize—0
Safe Reinforcement Learning through Meta-learned Instincts—0
Safe Reinforcement Learning via Projection on a Safe Set: How to Achieve Optimality?—0
Safe Reinforcement Learning of Control-Affine Systems with Vertex NetworksCode0
Safe Reinforcement Learning for Autonomous Vehicles through Parallel Constrained Policy Optimization—0
Provably Efficient Safe Exploration via Primal-Dual Policy Optimization—0
Safe reinforcement learning for probabilistic reachability and safety specifications: A Lyapunov-based approachCode0
Responsive Safety in Reinforcement Learning—0
Doubly Robust Off-Policy Actor-Critic Algorithms for Reinforcement Learning—0
Safety Guarantees for Planning Based on Iterative Gaussian Processes—0
Fully Bayesian Recurrent Neural Networks for Safe Reinforcement Learning—0
Convergent Policy Optimization for Safe Reinforcement LearningCode0
Robust Model Predictive Shielding for Safe Reinforcement Learning with Stochastic Dynamics—0
Case Study: Verifying the Safety of an Autonomous Racing Car with a Neural Network Controller—0
Autonomous Driving using Safe Reinforcement Learning by Incorporating a Regret-based Human Lane-Changing Decision Model—0
Safe Reinforcement Learning on Autonomous Vehicles—0
Posterior Variance Analysis of Gaussian Processes with Application to Average Learning Curves—0
Safe Reinforcement Learning with Nonlinear Dynamics via Model Predictive ShieldingCode0
Safe Reinforcement Learning with Scene Decomposition for Navigating Complex Urban EnvironmentsCode0
Safer Deep RL with Shallow MCTS: A Case Study in Pommerman—0
Temporal Logic Guided Safe Reinforcement Learning Using Control Barrier Functions—0
End-to-End Safe Reinforcement Learning through Barrier Functions for Safety-Critical Continuous Control TasksCode0
Parenting: Safe Reinforcement Learning from Human Input—0
Towards Physically Safe Reinforcement Learning under Supervision—0
Constrained Cross-Entropy Method for Safe Reinforcement Learning—0
Safe Reinforcement Learning with Model Uncertainty Estimates—0
Better Safe than Sorry: Evidence Accumulation Allows for Safe Reinforcement LearningCode0
Directed Policy Gradient for Safe Reinforcement Learning with Human Advice—0
Safe Reinforcement Learning via Probabilistic Shields—0
Penalizing side effects using stepwise relative reachability—0
Virtuously Safe Reinforcement Learning—0
A Lyapunov-based Approach to Safe Reinforcement LearningCode0
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