Robotics

A Minimaximalist Approach to Reinforcement Learning from Human Feedback ICML 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 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 Beyond Optimism: Exploration With Partially Observable Rewards NeurIPS 2024 Bigger, Regularized, Optimistic: scaling for compute and sample efficient continuous control NeurIPS 2024 BiGym: A Demo-Driven Mobile Bi-Manual Manipulation Benchmark CoRL 2024 Boosting Reinforcement Learning with Strongly Delayed Feedback Through Auxiliary Short Delays ICML 2024 Bootstrapping Reinforcement Learning with Imitation for Vision-Based Agile Flight CoRL 2024 Bridging the gap between Learning-to-plan, Motion Primitives and Safe Reinforcement Learning CoRL 2024 Bring Your Own (Non-Robust) Algorithm to Solve Robust MDPs by Estimating The Worst Kernel ICML 2024 CACTO-SL: Using Sobolev learning to improve continuous actor-critic with trajectory optimization L4DC 2024 CAVEN: An Embodied Conversational Agent for Efficient Audio-Visual Navigation in Noisy Environments AAAI 2024 ChatScene: Knowledge-Enabled Safety-Critical Scenario Generation for Autonomous Vehicles CVPR 2024