Applications

Adversarially Trained Weighted Actor-Critic for Safe Offline Reinforcement Learning NeurIPS 2024 A General Framework for Sequential Decision-Making under Adaptivity Constraints ICML 2024 A learning-based framework to adapt legged robots on-the-fly to unexpected disturbances L4DC 2024 A Meta-Game Evaluation Framework for Deep Multiagent Reinforcement Learning IJCAI 2024 A Minimaximalist Approach to Reinforcement Learning from Human Feedback ICML 2024 Amortized Planning with Large-Scale Transformers: A Case Study on Chess NeurIPS 2024 Analyzing Generalization in Policy Networks: A Case Study with the Double-Integrator System AAAI 2024 ANAVI: Audio Noise Awareness using Visual of Indoor environments for NAVIgation CoRL 2024 An efficient data-based off-policy Q-learning algorithm for optimal output feedback control of linear systems L4DC 2024 A New, Physics-Informed Continuous-Time Reinforcement Learning Algorithm with Performance Guarantees JMLR 2024 An Interactive Navigation Method with Effect-oriented Affordance CVPR 2024 AnySkill: Learning Open-Vocabulary Physical Skill for Interactive Agents CVPR 2024 Anytime-Constrained Reinforcement Learning AISTATS 2024 A Retrospective on the Robot Air Hockey Challenge: Benchmarking Robust, Reliable, and Safe Learning Techniques for Real-world Robotics NeurIPS 2024 A Simulation Benchmark for Autonomous Racing with Large-Scale Human Data NeurIPS 2024 A theoretical case-study of Scalable Oversight in Hierarchical Reinforcement Learning NeurIPS 2024 ATraDiff: Accelerating Online Reinforcement Learning with Imaginary Trajectories ICML 2024 AuctionNet: A Novel Benchmark for Decision-Making in Large-Scale Games NeurIPS 2024 Augmenting Decision with Hypothesis in Reinforcement Learning ICML 2024 Automated Creation of Digital Cousins for Robust Policy Learning CoRL 2024 AutoMate: Specialist and Generalist Assembly Policies over Diverse Geometries RSS 2024 Auto MC-Reward: Automated Dense Reward Design with Large Language Models for Minecraft CVPR 2024 Backpropagation Through Agents AAAI 2024 Beyond Optimism: Exploration With Partially Observable Rewards NeurIPS 2024 Bigger, Regularized, Optimistic: scaling for compute and sample efficient continuous control NeurIPS 2024