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Safe Reinforcement Learning

Papers

Showing 151175 of 306 papers

TitleStatusHype
Autonomous Driving using Safe Reinforcement Learning by Incorporating a Regret-based Human Lane-Changing Decision Model0
Barrier Function-based Safe Reinforcement Learning for Emergency Control of Power Systems0
Benchmarking Safe Deep Reinforcement Learning in Aquatic Navigation0
Bresa: Bio-inspired Reflexive Safe Reinforcement Learning for Contact-Rich Robotic Tasks0
Bridging the gap between Learning-to-plan, Motion Primitives and Safe Reinforcement Learning0
Cancellation-Free Regret Bounds for Lagrangian Approaches in Constrained Markov Decision Processes0
Case Study: Verifying the Safety of an Autonomous Racing Car with a Neural Network Controller0
CIMRL: Combining IMitation and Reinforcement Learning for Safe Autonomous Driving0
Computationally Efficient Safe Reinforcement Learning for Power Systems0
Constrained Cross-Entropy Method for Safe Reinforcement Learning0
Constraint-Conditioned Policy Optimization for Versatile Safe Reinforcement Learning0
Context-Aware Safe Reinforcement Learning for Non-Stationary Environments0
Contingency-constrained economic dispatch with safe reinforcement learning0
Control invariant set enhanced safe reinforcement learning: improved sampling efficiency, guaranteed stability and robustness0
Coordinated Frequency Control through Safe Reinforcement Learning0
Data Generation Method for Learning a Low-dimensional Safe Region in Safe Reinforcement Learning0
Decentralized Safe Reinforcement Learning for Voltage Control0
Designing Control Barrier Function via Probabilistic Enumeration for Safe Reinforcement Learning Navigation0
DESTA: A Framework for Safe Reinforcement Learning with Markov Games of Intervention0
DIAL: Distribution-Informed Adaptive Learning of Multi-Task Constraints for Safety-Critical Systems0
Directed Policy Gradient for Safe Reinforcement Learning with Human Advice0
Distributionally Safe Reinforcement Learning under Model Uncertainty: A Single-Level Approach by Differentiable Convex Programming0
Do No Harm: A Counterfactual Approach to Safe Reinforcement Learning0
Doubly Robust Off-Policy Actor-Critic Algorithms for Reinforcement Learning0
Dynamic Model Predictive Shielding for Provably Safe Reinforcement Learning0
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