Reinforcement Learning

Sample-Efficient Reinforcement Learning by Breaking the Replay Ratio Barrier ICLR 2023 Sample Efficient Reinforcement Learning in Mixed Systems through Augmented Samples and Its Applications to Queueing Networks NeurIPS 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 SAR: Generalization of Physiological Dexterity via Synergistic Action Representation RSS 2023 Satellite Navigation and Coordination with Limited Information Sharing L4DC 2023 Scalable and Safe Remediation of Defective Actions in Self-Learning Conversational Systems ACL 2023 Scalable Communication for Multi-Agent Reinforcement Learning via Transformer-Based Email Mechanism IJCAI 2023 Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation ICML 2023 Scalable Negotiating Agent Strategy via Multi-Issue Policy Network (Student Abstract) AAAI 2023 Scalable Primal-Dual Actor-Critic Method for Safe Multi-Agent RL with General Utilities NeurIPS 2023 Scalable Real-Time Recurrent Learning Using Columnar-Constructive Networks JMLR 2023 Scalable Safe Policy Improvement via Monte Carlo Tree Search ICML 2023 Scalable Spatial Memory for Scene Rendering and Navigation AAAI 2023 Scaling Data Generation in Vision-and-Language Navigation ICCV 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 Scaling Pareto-Efficient Decision Making via Offline Multi-Objective RL ICLR 2023 SCONE: A Food Scooping Robot Learning Framework with Active Perception CoRL 2023 Seeing Beyond the Patch: Scale-Adaptive Semantic Segmentation of High-resolution Remote Sensing Imagery based on Reinforcement Learning ICCV 2023 Seeing-Eye Quadruped Navigation with Force Responsive Locomotion Control CoRL 2023 SelectAugment: Hierarchical Deterministic Sample Selection for Data Augmentation AAAI 2023 Selective experience replay compression using coresets for lifelong deep reinforcement learning in medical imaging MIDL 2023 Selectively Sharing Experiences Improves Multi-Agent Reinforcement Learning NeurIPS 2023