Data Driven Strategies for Active Monocular SLAM using Inverse Reinforcement Learning. - Vignesh Prasad; Rishabh Jangir; Balaraman Ravindran; K. Madhava Krishna (AAMAS, 2017)

Dynamic Cloth Manipulation with Deep Reinforcement Learning. - Rishabh Jangir; Guillem Alenyà; Carme Torras (ICRA, 2020)

Self-Supervised Policy Adaptation during Deployment. - Nicklas Hansen 001; Rishabh Jangir; Yu Sun 020; Guillem Alenyà; Pieter Abbeel; Alexei A. Efros; Lerrel Pinto; Xiaolong Wang 004 (ICLR, 2021)

Graph Inverse Reinforcement Learning from Diverse Videos. - Sateesh Kumar; Jonathan Zamora; Nicklas Hansen 001; Rishabh Jangir; Xiaolong Wang 004 (CoRL, 2022)

Inverse Reinforcement Learning from Diverse Third-Person Videos via Graph Abstraction. - Sateesh Kumar; Jonathan Zamora; Nicklas Hansen 001; Rishabh Jangir; Xiaolong Wang 004 (CoRR, 2022)

Look Closer: Bridging Egocentric and Third-Person Views With Transformers for Robotic Manipulation. - Rishabh Jangir; Nicklas Hansen 001; Sambaran Ghosal; Mohit Jain; Xiaolong Wang 004 (IEEE Robotics Autom. Lett., 2022)

Legolas: Deep Leg-Inertial Odometry. - Justin Wasserman; Ananye Agarwal; Rishabh Jangir; Girish Chowdhary 001; Deepak Pathak; Abhinav Gupta 003 (CoRL, 2024)