Random Expert Distillation: Imitation Learning via Expert Policy Support Estimation

16 May 2019

Papers citing "Random Expert Distillation: Imitation Learning via Expert Policy Support Estimation"

24 / 24 papers shown

Title
Coupled Distributional Random Expert Distillation for World Model Online Imitation Learning Shangzhe Li Zhiao Huang Hao Su 71 0 0 04 May 2025
Robust Imitation Learning for Automated Game Testing P. Amadori Timothy Bradley Ryan Spick Guy Moss 31 1 0 09 Jan 2024
Get Back Here: Robust Imitation by Return-to-Distribution Planning Geoffrey Cideron B. Tabanpour Sebastian Curi Sertan Girgin Léonard Hussenot Gabriel Dulac-Arnold M. Geist Olivier Pietquin Robert Dadashi OOD 84 2 0 02 May 2023
MAHALO: Unifying Offline Reinforcement Learning and Imitation Learning from Observations Anqi Li Byron Boots Ching-An Cheng OffRL 33 16 0 30 Mar 2023
A Strong Baseline for Batch Imitation Learning Matthew Smith Lucas Maystre Zhenwen Dai K. Ciosek OffRL 25 4 0 06 Feb 2023
DITTO: Offline Imitation Learning with World Models Branton DeMoss Paul Duckworth Nick Hawes Ingmar Posner Ingmar Posner OffRL 21 18 0 06 Feb 2023
On The Fragility of Learned Reward Functions Lev McKinney Yawen Duan David M. Krueger Adam Gleave 33 20 0 09 Jan 2023
Maximum-Likelihood Inverse Reinforcement Learning with Finite-Time Guarantees Siliang Zeng Chenliang Li Alfredo García Min-Fong Hong 45 42 0 04 Oct 2022
Auto-Encoding Adversarial Imitation Learning Kaifeng Zhang Rui Zhao Ziming Zhang Yang Gao 29 1 0 22 Jun 2022
Minimax Optimal Online Imitation Learning via Replay Estimation Gokul Swamy Nived Rajaraman Matt Peng Sanjiban Choudhury J. Andrew Bagnell Zhiwei Steven Wu Jiantao Jiao Kannan Ramchandran OffRL 31 18 0 30 May 2022
Imitation Learning from Observations under Transition Model Disparity Tanmay Gangwani Yuanfei Zhou Jian-wei Peng 24 12 0 25 Apr 2022
Probability Density Estimation Based Imitation Learning Yang Liu Yongzhe Chang Shilei Jiang Xueqian Wang Bin Liang Bo Yuan 21 0 0 13 Dec 2021
Continuous Control with Action Quantization from Demonstrations Robert Dadashi Léonard Hussenot Damien Vincent Sertan Girgin Anton Raichuk M. Geist Olivier Pietquin OffRL 33 23 0 19 Oct 2021
Imitation Learning by Reinforcement Learning K. Ciosek 33 18 0 10 Aug 2021
A Pragmatic Look at Deep Imitation Learning Kai Arulkumaran D. Lillrank 35 9 0 04 Aug 2021
Core Challenges in Embodied Vision-Language Planning Jonathan M Francis Nariaki Kitamura Felix Labelle Xiaopeng Lu Ingrid Navarro Jean Oh LM&Ro 54 45 0 26 Jun 2021
Offline Reinforcement Learning as Anti-Exploration Shideh Rezaeifar Robert Dadashi Nino Vieillard Léonard Hussenot Olivier Bachem Olivier Pietquin M. Geist OffRL 54 51 0 11 Jun 2021
SoftDICE for Imitation Learning: Rethinking Off-policy Distribution Matching Min Sun Anuj Mahajan Katja Hofmann Shimon Whiteson OffRL 26 12 0 06 Jun 2021
Social NCE: Contrastive Learning of Socially-aware Motion Representations Yuejiang Liu Qi Yan Alexandre Alahi 34 101 0 21 Dec 2020
Learning Dense Rewards for Contact-Rich Manipulation Tasks Zheng Wu Wenzhao Lian Vaibhav Unhelkar Masayoshi Tomizuka S. Schaal 8 37 0 17 Nov 2020
f-IRL: Inverse Reinforcement Learning via State Marginal Matching Tianwei Ni Harshit S. Sikchi Yufei Wang Tejus Gupta Lisa Lee Benjamin Eysenbach 13 72 0 09 Nov 2020
Imitation with Neural Density Models Kuno Kim Akshat Jindal Yang Song Jiaming Song Yanan Sui Stefano Ermon 44 12 0 19 Oct 2020
Primal Wasserstein Imitation Learning Robert Dadashi Léonard Hussenot M. Geist Olivier Pietquin 26 124 0 08 Jun 2020
Universal Value Density Estimation for Imitation Learning and Goal-Conditioned Reinforcement Learning Yannick Schroecker Charles Isbell OffRL 36 12 0 15 Feb 2020