Inferring Versatile Behavior from Demonstrations by Matching Geometric
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Inferring Versatile Behavior from Demonstrations by Matching Geometric Descriptors

17 October 2022

Niklas Freymuth

Nicolas Schreiber

Aleksander Taranovic

Gerhard Neumann

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Papers citing "Inferring Versatile Behavior from Demonstrations by Matching Geometric Descriptors"

18 / 18 papers shown

Title
A Comprehensive Survey of Mixture-of-Experts: Algorithms, Theory, and Applications Siyuan Mu Sen Lin MoE 481 5 0 10 Mar 2025
Versatile Inverse Reinforcement Learning via Cumulative Rewards Niklas Freymuth P. Becker Gerhard Neumann 43 4 0 15 Nov 2021
What Matters in Learning from Offline Human Demonstrations for Robot Manipulation Ajay Mandlekar Danfei Xu J. Wong Soroush Nasiriany Chen Wang Rohun Kulkarni Li Fei-Fei Silvio Savarese Yuke Zhu Roberto Martín-Martín OffRL 289 519 0 06 Aug 2021
What Matters for Adversarial Imitation Learning? Manu Orsini Anton Raichuk Léonard Hussenot Damien Vincent Robert Dadashi Sertan Girgin Matthieu Geist Olivier Bachem Olivier Pietquin Marcin Andrychowicz 99 77 0 01 Jun 2021
$f$ -GAIL: Learning $f$ -Divergence for Generative Adversarial Imitation Learning Xin Zhang Jun Luo Ziming Zhang Zhi-Li Zhang 48 33 0 02 Oct 2020
Expected Information Maximization: Using the I-Projection for Mixture Density Estimation P. Becker Oleg Arenz Gerhard Neumann 36 16 0 23 Jan 2020
Imitation Learning via Off-Policy Distribution Matching Ilya Kostrikov Ofir Nachum Jonathan Tompson OOD OffRL 158 205 0 10 Dec 2019
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 565 42,639 0 03 Dec 2019
A Divergence Minimization Perspective on Imitation Learning Methods Seyed Kamyar Seyed Ghasemipour R. Zemel S. Gu 83 250 0 06 Nov 2019
Trust-Region Variational Inference with Gaussian Mixture Models Oleg Arenz Mingjun Zhong Gerhard Neumann 66 20 0 10 Jul 2019
Extrapolating Beyond Suboptimal Demonstrations via Inverse Reinforcement Learning from Observations Daniel S. Brown Wonjoon Goo P. Nagarajan S. Niekum 102 358 0 12 Apr 2019
An Algorithmic Perspective on Imitation Learning Takayuki Osa Joni Pajarinen Gerhard Neumann J. Andrew Bagnell Pieter Abbeel Jan Peters 90 848 0 16 Nov 2018
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 571 19,296 0 20 Jul 2017
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space C. Qi L. Yi Hao Su Leonidas Guibas 3DPC 3DV 366 11,154 0 07 Jun 2017
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas Guibas 3DH 3DPC 3DV PINN 500 14,371 0 02 Dec 2016
Generative Adversarial Imitation Learning Jonathan Ho Stefano Ermon GAN 165 3,125 0 10 Jun 2016
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 469 43,357 0 11 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.1K 150,433 0 22 Dec 2014