Applications

Subteaming and Adaptive Formation Control for Coordinated Multi-Robot Navigation CoRL 2025 Superfast Configuration-Space Convex Set Computation on GPUs for Online Motion Planning RSS 2025 Symmetric Reinforcement Learning Loss for Robust Learning on Diverse Tasks and Model Scales ICML 2025 Target Return Optimizer for Multi-Game Decision Transformer ACML 2025 TCPO: Thought-Centric Preference Optimization for Effective Embodied Decision-making EMNLP 2025 The Courage to Stop: Overcoming Sunk Cost Fallacy in Deep Reinforcement Learning ICML 2025 The Harder Path: Last Iterate Convergence for Uncoupled Learning in Zero-Sum Games with Bandit Feedback ICML 2025 The impact of uncertainty on regularized learning in games ICML 2025 The Indoor-Training Effect: Unexpected Gains from Distribution Shifts in the Transition Function AAAI 2025 The Number of Trials Matters in Infinite-Horizon General-Utility Markov Decision Processes ICML 2025 The Value of Sensory Information to a Robot ICLR 2025 ToddlerBot: Open-Source ML-Compatible Humanoid Platform for Loco-Manipulation CoRL 2025 To Measure or Not: A Cost-Sensitive, Selective Measuring Environment for Agricultural Management Decisions with Reinforcement Learning AAAI 2025 TopoCut: Learning Multi-Step Cutting with Spectral Rewards and Discrete Diffusion Policies CoRL 2025 Towards Autonomous Micromobility through Scalable Urban Simulation CVPR 2025 Towards Better Robot Learners: Leveraging Implicit and Explicit Human Feedback Together in Human Robot Interactions AAAI 2025 Towards Building Human-like Smart Agents in Modern 3D Video Games (Student Abstract) AAAI 2025 Towards Efficient Online Tuning of VLM Agents via Counterfactual Soft Reinforcement Learning ICML 2025 Towards Embodiment Scaling Laws in Robot Locomotion CoRL 2025 Towards Generalizable Safety in Crowd Navigation via Conformal Uncertainty Handling CoRL 2025 Towards Immersive Human-X Interaction: A Real-Time Framework for Physically Plausible Motion Synthesis ICCV 2025 Towards Long-Horizon Vision-Language-Action System: Reasoning, Acting and Memory ICCV 2025 Towards Robust, Efficient, and Practical Decision-Making: From Reward-Maximizing Deep Reinforcement Learning to Reward-Matching GFlowNets AAAI 2025 Towards Runtime Analysis of Population-Based Co-evolutionary Algorithms on Sparse Binary Zero-Sum Game AAAI 2025 Towards Theoretical Understanding of Sequential Decision Making with Preference Feedback ICML 2025