Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for Animesh Garg

Centralized Model and Exploration Policy for Multi-Agent RL

Jul 14, 2021
Qizhen Zhang, Chris Lu, Animesh Garg, Jakob Foerster

  Access Paper or Ask Questions

A Persistent Spatial Semantic Representation for High-level Natural Language Instruction Execution

Jul 12, 2021
Valts Blukis, Chris Paxton, Dieter Fox, Animesh Garg, Yoav Artzi

* Submitted to CoRL 2021 

  Access Paper or Ask Questions

Learning Latent Actions to Control Assistive Robots

Jul 10, 2021
Dylan P. Losey, Hong Jun Jeon, Mengxi Li, Krishnan Srinivasan, Ajay Mandlekar, Animesh Garg, Jeannette Bohg, Dorsa Sadigh

  Access Paper or Ask Questions

GIFT: Generalizable Interaction-aware Functional Tool Affordances without Labels

Jun 28, 2021
Dylan Turpin, Liquan Wang, Stavros Tsogkas, Sven Dickinson, Animesh Garg

* Qualitative results available at 

  Access Paper or Ask Questions

Neural Hybrid Automata: Learning Dynamics with Multiple Modes and Stochastic Transitions

Jun 08, 2021
Michael Poli, Stefano Massaroli, Luca Scimeca, Seong Joon Oh, Sanghyuk Chun, Atsushi Yamashita, Hajime Asama, Jinkyoo Park, Animesh Garg

  Access Paper or Ask Questions

Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning

May 31, 2021
Anuj Mahajan, Mikayel Samvelyan, Lei Mao, Viktor Makoviychuk, Animesh Garg, Jean Kossaifi, Shimon Whiteson, Yuke Zhu, Animashree Anandkumar

* 38th International Conference on Machine Learning, PMLR 139, 2021 

  Access Paper or Ask Questions

DiSECt: A Differentiable Simulation Engine for Autonomous Robotic Cutting

May 25, 2021
Eric Heiden, Miles Macklin, Yashraj Narang, Dieter Fox, Animesh Garg, Fabio Ramos

* Accepted at Robotics: Science and Systems 2021 

  Access Paper or Ask Questions

Robust Value Iteration for Continuous Control Tasks

May 25, 2021
Michael Lutter, Shie Mannor, Jan Peters, Dieter Fox, Animesh Garg

* Accepted Paper at Robotics: Science and Systems 

  Access Paper or Ask Questions

Coach-Player Multi-Agent Reinforcement Learning for Dynamic Team Composition

May 18, 2021
Bo Liu, Qiang Liu, Peter Stone, Animesh Garg, Yuke Zhu, Animashree Anandkumar

  Access Paper or Ask Questions

Principled Exploration via Optimistic Bootstrapping and Backward Induction

May 17, 2021
Chenjia Bai, Lingxiao Wang, Lei Han, Jianye Hao, Animesh Garg, Peng Liu, Zhaoran Wang

* ICML 2021 

  Access Paper or Ask Questions

Value Iteration in Continuous Actions, States and Time

May 10, 2021
Michael Lutter, Shie Mannor, Jan Peters, Dieter Fox, Animesh Garg

* Accepted at International Conference on Machine Learning (ICML) 2021 

  Access Paper or Ask Questions

GLiDE: Generalizable Quadrupedal Locomotion in Diverse Environments with a Centroidal Model

Apr 22, 2021
Zhaoming Xie, Xingye Da, Buck Babich, Animesh Garg, Michiel van de Panne

  Access Paper or Ask Questions

LASER: Learning a Latent Action Space for Efficient Reinforcement Learning

Mar 30, 2021
Arthur Allshire, Roberto Martín-Martín, Charles Lin, Shawn Manuel, Silvio Savarese, Animesh Garg

* Accepted as a conference paper at ICRA 2021. 7 pages, 8 figures 

  Access Paper or Ask Questions

Articulated Object Interaction in Unknown Scenes with Whole-Body Mobile Manipulation

Mar 18, 2021
Mayank Mittal, David Hoeller, Farbod Farshidian, Marco Hutter, Animesh Garg

  Access Paper or Ask Questions

S4RL: Surprisingly Simple Self-Supervision for Offline Reinforcement Learning

Mar 10, 2021
Samarth Sinha, Animesh Garg

  Access Paper or Ask Questions

Learning by Watching: Physical Imitation of Manipulation Skills from Human Videos

Jan 18, 2021
Haoyu Xiong, Quanzhou Li, Yun-Chun Chen, Homanga Bharadhwaj, Samarth Sinha, Animesh Garg

* Project Website: 

  Access Paper or Ask Questions

Emergent Hand Morphology and Control from Optimizing Robust Grasps of Diverse Objects

Dec 22, 2020
Xinlei Pan, Animesh Garg, Animashree Anandkumar, Yuke Zhu

* 8 pages, 5 figures, Project website: 

  Access Paper or Ask Questions

C-Learning: Horizon-Aware Cumulative Accessibility Estimation

Dec 14, 2020
Panteha Naderian, Gabriel Loaiza-Ganem, Harry J. Braviner, Anthony L. Caterini, Jesse C. Cresswell, Tong Li, Animesh Garg

  Access Paper or Ask Questions

Skill Transfer via Partially Amortized Hierarchical Planning

Nov 27, 2020
Kevin Xie, Homanga Bharadhwaj, Danijar Hafner, Animesh Garg, Florian Shkurti

* First two authors contributed equally. Preprint. NeurIPS 2020 Deep RL Workshop and under review 

  Access Paper or Ask Questions

Action Concept Grounding Network for Semantically-Consistent Video Generation

Nov 23, 2020
Wei Yu, Wenxin Chen, Steve Easterbrook, Animesh Garg

  Access Paper or Ask Questions

Solving Physics Puzzles by Reasoning about Paths

Nov 14, 2020
Augustin Harter, Andrew Melnik, Gaurav Kumar, Dhruv Agarwal, Animesh Garg, Helge Ritter

* 1st NeurIPS workshop on Interpretable Inductive Biases and Physically Structured Learning (2020) 

  Access Paper or Ask Questions

Dynamics Randomization Revisited:A Case Study for Quadrupedal Locomotion

Nov 04, 2020
Zhaoming Xie, Xingye Da, Michiel van de Panne, Buck Babich, Animesh Garg

  Access Paper or Ask Questions

Conservative Safety Critics for Exploration

Oct 27, 2020
Homanga Bharadhwaj, Aviral Kumar, Nicholas Rhinehart, Sergey Levine, Florian Shkurti, Animesh Garg

* Preprint. Under review 

  Access Paper or Ask Questions

D2RL: Deep Dense Architectures in Reinforcement Learning

Oct 19, 2020
Samarth Sinha, Homanga Bharadhwaj, Aravind Srinivas, Animesh Garg

  Access Paper or Ask Questions

Learning a Contact-Adaptive Controller for Robust, Efficient Legged Locomotion

Oct 05, 2020
Xingye Da, Zhaoming Xie, David Hoeller, Byron Boots, Animashree Anandkumar, Yuke Zhu, Buck Babich, Animesh Garg

* supplementary video: 

  Access Paper or Ask Questions