Kumar, Vikash

39 publications

NeurIPS 2025 MyoChallenge 2024: A New Benchmark for Physiological Dexterity and Agility in Bionic Humans Cheryl Wang, Chun Kwang Tan, Balint K Hodossy, Shirui Lyu, Pierre Schumacher, James Heald, Kai Biegun, Samo Hromadka, Maneesh Sahani, Gunwoo Park, Beomsoo Shin, JongHyun Park, Seungbum Koo, Chenhui Zuo, Chengtian Ma, Yanan Sui, Nicklas Hansen, Stone Tao, Yuan Gao, Hao Su, Seungmoon Song, Letizia Gionfrida, Massimo Sartori, Guillaume Durandau, Vikash Kumar, Vittorio Caggiano

ICLR 2024 TorchRL: A Data-Driven Decision-Making Library for PyTorch Albert Bou, Matteo Bettini, Sebastian Dittert, Vikash Kumar, Shagun Sodhani, Xiaomeng Yang, Gianni De Fabritiis, Vincent Moens

WACV 2023 CoNMix for Source-Free Single and Multi-Target Domain Adaptation Vikash Kumar, Rohit Lal, Himanshu Patil, Anirban Chakraborty

ICML 2023 LIV: Language-Image Representations and Rewards for Robotic Control Yecheng Jason Ma, Vikash Kumar, Amy Zhang, Osbert Bastani, Dinesh Jayaraman

ICLRW 2023 LIV: Language-Image Representations and Rewards for Robotic Control Yecheng Jason Ma, Vikash Kumar, Amy Zhang, Osbert Bastani, Dinesh Jayaraman

ICMLW 2023 Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware Tony Z. Zhao, Vikash Kumar, Sergey Levine, Chelsea Finn

CVPRW 2023 MIPI 2023 Challenge on RGB+ToF Depth Completion: Methods and Results Qingpeng Zhu, Wenxiu Sun, Yuekun Dai, Chongyi Li, Shangchen Zhou, Ruicheng Feng, Qianhui Sun, Chen Change Loy, Jinwei Gu, Yi Yu, Yangke Huang, Kang Zhang, Meiya Chen, Yu Wang, Yongchao Li, Hao Jiang, Amrit Kumar Muduli, Vikash Kumar, Kunal Swami, Pankaj Kumar Bajpai, Yunchao Ma, Jiajun Xiao, Zhi Ling

ICLR 2023 MoDem: Accelerating Visual Model-Based Reinforcement Learning with Demonstrations Nicklas Hansen, Yixin Lin, Hao Su, Xiaolong Wang, Vikash Kumar, Aravind Rajeswaran

ICML 2023 MyoDex: A Generalizable Prior for Dexterous Manipulation Vittorio Caggiano, Sudeep Dasari, Vikash Kumar

CoRL 2023 REBOOT: Reuse Data for Bootstrapping Efficient Real-World Dexterous Manipulation Zheyuan Hu, Aaron Rovinsky, Jianlan Luo, Vikash Kumar, Abhishek Gupta, Sergey Levine

NeurIPS 2023 RoboHive: A Unified Framework for Robot Learning Vikash Kumar, Rutav Shah, Gaoyue Zhou, Vincent Moens, Vittorio Caggiano, Abhishek Gupta, Aravind Rajeswaran

ICLR 2023 VIP: Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training Yecheng Jason Ma, Shagun Sodhani, Dinesh Jayaraman, Osbert Bastani, Vikash Kumar, Amy Zhang

ICMLW 2023 Visual Dexterity: In-Hand Dexterous Manipulation from Depth Tao Chen, Megha Tippur, Siyang Wu, Vikash Kumar, Edward Adelson, Pulkit Agrawal

L4DC 2022 Can Foundation Models Perform Zero-Shot Task Specification for Robot Manipulation? Yuchen Cui, Scott Niekum, Abhinav Gupta, Vikash Kumar, Aravind Rajeswaran

CoRL 2022 Cross-Domain Transfer via Semantic Skill Imitation Karl Pertsch, Ruta Desai, Vikash Kumar, Franziska Meier, Joseph J Lim, Dhruv Batra, Akshara Rai

NeurIPSW 2022 Learning Dexterous Manipulation from Exemplar Object Trajectories and Pre-Grasps Sudeep Dasari, Abhinav Gupta, Vikash Kumar

NeurIPSW 2022 MoDem: Accelerating Visual Model-Based Reinforcement Learning with Demonstrations Nicklas Hansen, Yixin Lin, Hao Su, Xiaolong Wang, Vikash Kumar, Aravind Rajeswaran

L4DC 2022 MyoSuite: A Contact-Rich Simulation Suite for Musculoskeletal Motor Control Vittorio Caggiano, Huawei Wang, Guillaume Durandau, Massimo Sartori, Vikash Kumar

ICMLW 2022 Policy Architectures for Compositional Generalization in Control Allan Zhou, Vikash Kumar, Chelsea Finn, Aravind Rajeswaran

NeurIPSW 2022 Policy Architectures for Compositional Generalization in Control Allan Zhou, Vikash Kumar, Chelsea Finn, Aravind Rajeswaran

CoRL 2022 R3M: A Universal Visual Representation for Robot Manipulation Suraj Nair, Aravind Rajeswaran, Vikash Kumar, Chelsea Finn, Abhinav Gupta

NeurIPSW 2022 Real World Offline Reinforcement Learning with Realistic Data Source Gaoyue Zhou, Liyiming Ke, Siddhartha Srinivasa, Abhinav Gupta, Aravind Rajeswaran, Vikash Kumar

NeurIPSW 2022 Real World Offline Reinforcement Learning with Realistic Data Source Gaoyue Zhou, Liyiming Ke, Siddhartha Srinivasa, Abhinav Gupta, Aravind Rajeswaran, Vikash Kumar

NeurIPSW 2022 Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training Yecheng Jason Ma, Shagun Sodhani, Dinesh Jayaraman, Osbert Bastani, Vikash Kumar, Amy Zhang

ICML 2022 Translating Robot Skills: Learning Unsupervised Skill Correspondences Across Robots Tanmay Shankar, Yixin Lin, Aravind Rajeswaran, Vikash Kumar, Stuart Anderson, Jean Oh

NeurIPSW 2022 VIP: Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training Yecheng Jason Ma, Shagun Sodhani, Dinesh Jayaraman, Osbert Bastani, Vikash Kumar, Amy Zhang

NeurIPSW 2022 VIP: Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training Yecheng Jason Ma, Shagun Sodhani, Dinesh Jayaraman, Osbert Bastani, Vikash Kumar, Amy Zhang

ICCVW 2021 CAFT: Class Aware Frequency Transform for Reducing Domain Gap Vikash Kumar, Sarthak Srivastava, Rohit Lal, Anirban Chakraborty

ICML 2021 RRL: ResNet as Representation for Reinforcement Learning Rutav M Shah, Vikash Kumar

ICML 2020 A Game Theoretic Framework for Model Based Reinforcement Learning Aravind Rajeswaran, Igor Mordatch, Vikash Kumar

ICLR 2020 Dynamics-Aware Unsupervised Skill Discovery Archit Sharma, Shixiang Gu, Sergey Levine, Vikash Kumar, Karol Hausman

ICLR 2020 The Ingredients of Real World Robotic Reinforcement Learning Henry Zhu, Justin Yu, Abhishek Gupta, Dhruv Shah, Kristian Hartikainen, Avi Singh, Vikash Kumar, Sergey Levine

CoRL 2019 Deep Dynamics Models for Learning Dexterous Manipulation Anusha Nagabandi, Kurt Konolige, Sergey Levine, Vikash Kumar

CoRL 2019 Learning Latent Plans from Play Corey Lynch, Mohi Khansari, Ted Xiao, Vikash Kumar, Jonathan Tompson, Sergey Levine, Pierre Sermanet

CoRL 2019 Multi-Agent Manipulation via Locomotion Using Hierarchical Sim2Real Ofir Nachum, Michael Ahn, Hugo Ponte, Shixiang Gu, Vikash Kumar

CoRL 2019 ROBEL: Robotics Benchmarks for Learning with Low-Cost Robots Michael Ahn, Henry Zhu, Kristian Hartikainen, Hugo Ponte, Abhishek Gupta, Sergey Levine, Vikash Kumar

CoRL 2019 Relay Policy Learning: Solving Long-Horizon Tasks via Imitation and Reinforcement Learning Abhishek Gupta, Vikash Kumar, Corey Lynch, Sergey Levine, Karol Hausman

ICLR 2018 Divide-and-Conquer Reinforcement Learning Dibya Ghosh, Avi Singh, Aravind Rajeswaran, Vikash Kumar, Sergey Levine

ICLR 2018 Variance Reduction for Policy Gradient with Action-Dependent Factorized Baselines Cathy Wu, Aravind Rajeswaran, Yan Duan, Vikash Kumar, Alexandre M Bayen, Sham Kakade, Igor Mordatch, Pieter Abbeel