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Animesh Garg

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Neural Shape Mating: Self-Supervised Object Assembly with Adversarial Shape Priors

May 30, 2022
Yun-Chun Chen, Haoda Li, Dylan Turpin, Alec Jacobson, Animesh Garg

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Accelerated Policy Learning with Parallel Differentiable Simulation

Apr 14, 2022
Jie Xu, Viktor Makoviychuk, Yashraj Narang, Fabio Ramos, Wojciech Matusik, Animesh Garg, Miles Macklin

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Value Gradient weighted Model-Based Reinforcement Learning

Apr 04, 2022
Claas Voelcker, Victor Liao, Animesh Garg, Amir-massoud Farahmand

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X-Pool: Cross-Modal Language-Video Attention for Text-Video Retrieval

Mar 28, 2022
Satya Krishna Gorti, Noel Vouitsis, Junwei Ma, Keyvan Golestan, Maksims Volkovs, Animesh Garg, Guangwei Yu

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DiSECt: A Differentiable Simulator for Parameter Inference and Control in Robotic Cutting

Mar 19, 2022
Eric Heiden, Miles Macklin, Yashraj Narang, Dieter Fox, Animesh Garg, Fabio Ramos

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Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning

Feb 23, 2022
Chenjia Bai, Lingxiao Wang, Zhuoran Yang, Zhihong Deng, Animesh Garg, Peng Liu, Zhaoran Wang

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

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

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Convergence and Optimality of Policy Gradient Methods in Weakly Smooth Settings

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

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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

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Dynamic Bottleneck for Robust Self-Supervised Exploration

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

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