Co-occurring keywords · papers mentioning both
Papers
On the Robustness of Safe Reinforcement Learning under Observational Perturbations
ICLR 2023
Provable Safe Reinforcement Learning with Binary Feedback
AISTATS 2023
Provably Efficient Primal-Dual Reinforcement Learning for CMDPs with Non-stationary Objectives and Constraints
AAAI 2023
Provably Safe Reinforcement Learning with Step-wise Violation Constraints
NeurIPS 2023
Risk-Averse Model Uncertainty for Distributionally Robust Safe Reinforcement Learning
NeurIPS 2023
Safe and Efficient Reinforcement Learning using Disturbance-Observer-Based Control Barrier Functions
L4DC 2023
SafeLight: A Reinforcement Learning Method toward Collision-Free Traffic Signal Control
AAAI 2023
Safe Offline Reinforcement Learning with Real-Time Budget Constraints
ICML 2023
Safe Reinforcement Learning From Pixels Using a Stochastic Latent Representation
ICLR 2023
Safe Reinforcement Learning via Probabilistic Logic Shields
IJCAI 2023
Safe Reinforcement Learning via Shielding under Partial Observability
AAAI 2023
Safety Gymnasium: A Unified Safe Reinforcement Learning Benchmark
NeurIPS 2023
Sample-Efficient and Safe Deep Reinforcement Learning via Reset Deep Ensemble Agents
NeurIPS 2023
Scalable and Safe Remediation of Defective Actions in Self-Learning Conversational Systems
ACL 2023
Scalable Primal-Dual Actor-Critic Method for Safe Multi-Agent RL with General Utilities
NeurIPS 2023
State-wise Safe Reinforcement Learning: A Survey
IJCAI 2023
Towards Robust and Safe Reinforcement Learning with Benign Off-policy Data
ICML 2023
Trust Region-Based Safe Distributional Reinforcement Learning for Multiple Constraints
NeurIPS 2023
VOCE: Variational Optimization with Conservative Estimation for Offline Safe Reinforcement Learning
NeurIPS 2023
A Near-Optimal Primal-Dual Method for Off-Policy Learning in CMDP
NeurIPS 2022
Conservative and Adaptive Penalty for Model-Based Safe Reinforcement Learning
AAAI 2022
Constrained Update Projection Approach to Safe Policy Optimization
NeurIPS 2022
Constrained Variational Policy Optimization for Safe Reinforcement Learning
ICML 2022
Constraints Penalized Q-learning for Safe Offline Reinforcement Learning
AAAI 2022
Direct Behavior Specification via Constrained Reinforcement Learning
ICML 2022