Autonomous Robotic Reinforcement Learning with Asynchronous Human Feedback. - Max Balsells; Marcel Torne Villasevil; Zihan Wang; Samedh Desai; Pulkit Agrawal 001; Abhishek Gupta 004 (CoRL, 2023)

Breadcrumbs to the Goal: Supervised Goal Selection from Human-in-the-Loop Feedback. - Marcel Torne Villasevil; Max Balsells; Zihan Wang; Samedh Desai; Tao Chen 046; Pulkit Agrawal 001; Abhishek Gupta 004 (NeurIPS, 2023)

Breadcrumbs to the Goal: Goal-Conditioned Exploration from Human-in-the-Loop Feedback. - Marcel Torne; Max Balsells; Zihan Wang; Samedh Desai; Tao Chen 046; Pulkit Agrawal 001; Abhishek Gupta 004 (CoRR, 2023)

Reconciling Reality through Simulation: A Real-To-Sim-to-Real Approach for Robust Manipulation. - Marcel Torne Villasevil; Anthony Simeonov; Zechu Li; April Chan; Tao Chen 046; Abhishek Gupta 004; Pulkit Agrawal 001 (Robotics: Science and Systems, 2024)

From Imitation to Refinement - Residual RL for Precise Visual Assembly. - Lars Ankile; Anthony Simeonov; Idan Shenfeld; Marcel Torne; Pulkit Agrawal 001 (CoRR, 2024)

Robot Learning with Super-Linear Scaling. - Marcel Torne; Arhan Jain; Jiayi Yuan 002; Vidaaranya Macha; Lars Ankile; Anthony Simeonov; Pulkit Agrawal 001; Abhishek Gupta 004 (CoRR, 2024)

Learning Long-Context Diffusion Policies via Past-Token Prediction. - Marcel Torne; Andy Tang; Yuejiang Liu; Chelsea Finn (CoRR, 2025)