Deep RL

Robot Parkour Learning CoRL 2023 Robust and Versatile Bipedal Jumping Control through Reinforcement Learning RSS 2023 Robust Reinforcement Learning in Continuous Control Tasks with Uncertainty Set Regularization CoRL 2023 Robust Reinforcement Learning via Progressive Task Sequence IJCAI 2023 Roll-Drop: accounting for observation noise with a single parameter L4DC 2023 Rotating without Seeing: Towards In-hand Dexterity through Touch RSS 2023 RPTCS: A Reinforced Persona-aware Topic-guiding Conversational System EACL 2023 Safe and Efficient Reinforcement Learning using Disturbance-Observer-Based Control Barrier Functions L4DC 2023 Safe Exploration in Reinforcement Learning: A Generalized Formulation and Algorithms NeurIPS 2023 Safe Reinforcement Learning From Pixels Using a Stochastic Latent Representation ICLR 2023 Safe Reinforcement Learning via Shielding under Partial Observability AAAI 2023 Safety Aware Neural Pruning for Deep Reinforcement Learning (Student Abstract) 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 Sample Efficient Model-free Reinforcement Learning from LTL Specifications with Optimality Guarantees IJCAI 2023 Sample-Efficient Preference-based Reinforcement Learning with Dynamics Aware Rewards CoRL 2023 Sample-Efficient Reinforcement Learning by Breaking the Replay Ratio Barrier ICLR 2023 Sampling-based Exploration for Reinforcement Learning of Dexterous Manipulation RSS 2023 SAM-RL: Sensing-Aware Model-Based Reinforcement Learning via Differentiable Physics-Based Simulation and Rendering RSS 2023 Scalable and Safe Remediation of Defective Actions in Self-Learning Conversational Systems ACL 2023 Scalable Negotiating Agent Strategy via Multi-Issue Policy Network (Student Abstract) AAAI 2023 Scalable Real-Time Recurrent Learning Using Columnar-Constructive Networks JMLR 2023 Scaling Goal-based Exploration via Pruning Proto-goals IJCAI 2023 Scaling Laws for Reward Model Overoptimization ICML 2023 Scaling Marginalized Importance Sampling to High-Dimensional State-Spaces via State Abstraction AAAI 2023