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

Koopman Q-learning: Offline Reinforcement Learning via Symmetries of Dynamics


Nov 02, 2021
Matthias Weissenbacher, Samarth Sinha, Animesh Garg, Yoshinobu Kawahara


  Access Paper or Ask Questions

Convergence and Optimality of Policy Gradient Methods in Weakly Smooth Settings


Oct 30, 2021
Matthew Shunshi Zhang, Murat Erdogdu, Animesh Garg


  Access Paper or Ask Questions

Reinforcement Learning in Factored Action Spaces using Tensor Decompositions


Oct 27, 2021
Anuj Mahajan, Mikayel Samvelyan, Lei Mao, Viktor Makoviychuk, Animesh Garg, Jean Kossaifi, Shimon Whiteson, Yuke Zhu, Animashree Anandkumar

* 2nd Workshop on Quantum Tensor Networks in Machine Learning (NeurIPS 2021) 

  Access Paper or Ask Questions

Dynamic Bottleneck for Robust Self-Supervised Exploration


Oct 25, 2021
Chenjia Bai, Lingxiao Wang, Lei Han, Animesh Garg, Jianye Hao, Peng Liu, Zhaoran Wang

* NeurIPS 2021 

  Access Paper or Ask Questions

Continuous-Time Fitted Value Iteration for Robust Policies


Oct 05, 2021
Michael Lutter, Boris Belousov, Shie Mannor, Dieter Fox, Animesh Garg, Jan Peters

* arXiv admin note: text overlap with arXiv:2105.12189 

  Access Paper or Ask Questions

Seeing Glass: Joint Point Cloud and Depth Completion for Transparent Objects


Sep 30, 2021
Haoping Xu, Yi Ru Wang, Sagi Eppel, Alàn Aspuru-Guzik, Florian Shkurti, Animesh Garg

* Accepted for Oral at Conference on Robot Learning (CoRL) 2021; Haoping Xu and Yi Ru Wang contributed equally; 8 pages, 6 figures, 3 tables 

  Access Paper or Ask Questions

Auditing AI models for Verified Deployment under Semantic Specifications


Sep 25, 2021
Homanga Bharadhwaj, De-An Huang, Chaowei Xiao, Anima Anandkumar, Animesh Garg

* Preprint; Under review; 

  Access Paper or Ask Questions

A Robot Cluster for Reproducible Research in Dexterous Manipulation


Sep 22, 2021
Stefan Bauer, Felix Widmaier, Manuel Wüthrich, Niklas Funk, Julen Urain De Jesus, Jan Peters, Joe Watson, Claire Chen, Krishnan Srinivasan, Junwu Zhang, Jeffrey Zhang, Matthew R. Walter, Rishabh Madan, Charles Schaff, Takahiro Maeda, Takuma Yoneda, Denis Yarats, Arthur Allshire, Ethan K. Gordon, Tapomayukh Bhattacharjee, Siddhartha S. Srinivasa, Animesh Garg, Annika Buchholz, Sebastian Stark, Thomas Steinbrenner, Joel Akpo, Shruti Joshi, Vaibhav Agrawal, Bernhard Schölkopf


  Access Paper or Ask Questions

PlaTe: Visually-Grounded Planning with Transformers in Procedural Tasks


Sep 10, 2021
Jiankai Sun, De-An Huang, Bo Lu, Yun-Hui Liu, Bolei Zhou, Animesh Garg


  Access Paper or Ask Questions

Drop-DTW: Aligning Common Signal Between Sequences While Dropping Outliers


Aug 26, 2021
Nikita Dvornik, Isma Hadji, Konstantinos G. Derpanis, Animesh Garg, Allan D. Jepson


  Access Paper or Ask Questions

Transferring Dexterous Manipulation from GPU Simulation to a Remote Real-World TriFinger


Aug 22, 2021
Arthur Allshire, Mayank Mittal, Varun Lodaya, Viktor Makoviychuk, Denys Makoviichuk, Felix Widmaier, Manuel Wüthrich, Stefan Bauer, Ankur Handa, Animesh Garg

* 13 pages, 11 figures 

  Access Paper or Ask Questions

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 https://www.pair.toronto.edu/gift-tools-rss21 

  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: https://www.pair.toronto.edu/lbw-kp/ 

  Access Paper or Ask Questions