Methods

SAM-RL: Sensing-Aware Model-Based Reinforcement Learning via Differentiable Physics-Based Simulation and Rendering 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 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 Seeing Beyond the Patch: Scale-Adaptive Semantic Segmentation of High-resolution Remote Sensing Imagery based on Reinforcement Learning ICCV 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 Self-Improving Robots: End-to-End Autonomous Visuomotor Reinforcement Learning CoRL 2023 Self-Predictive Universal AI NeurIPS 2023 Self-Supervised Behavior Cloned Transformers are Path Crawlers for Text Games EMNLP 2023 Self-Supervised Neuron Segmentation with Multi-Agent Reinforcement Learning IJCAI 2023 Self-Supervised Reinforcement Learning that Transfers using Random Features NeurIPS 2023 Semi-Offline Reinforcement Learning for Optimized Text Generation ICML 2023 Semiparametrically Efficient Off-Policy Evaluation in Linear Markov Decision Processes ICML 2023 Semi-Supervised Offline Reinforcement Learning with Action-Free Trajectories ICML 2023