Provably Breaking the Quadratic Error Compounding Barrier in Imitation
Learning, Optimally

Provably Breaking the Quadratic Error Compounding Barrier in Imitation Learning, Optimally

25 February 2021

Nived Rajaraman

Kannan Ramchandran

Papers citing "Provably Breaking the Quadratic Error Compounding Barrier in Imitation Learning, Optimally"

18 / 18 papers shown

Title
Error Bounds of Imitating Policies and Environments Tian Xu Ziniu Li Yang Yu 71 119 0 22 Oct 2020
Episodic Reinforcement Learning in Finite MDPs: Minimax Lower Bounds Revisited O. D. Domingues Pierre Ménard E. Kaufmann Michal Valko 52 96 0 07 Oct 2020
Toward the Fundamental Limits of Imitation Learning Nived Rajaraman Lin F. Yang Jiantao Jiao K. Ramachandran 116 86 0 13 Sep 2020
Provable Representation Learning for Imitation Learning via Bi-level Optimization Sanjeev Arora S. Du Sham Kakade Yuping Luo Nikunj Saunshi 57 61 0 24 Feb 2020
Dota 2 with Large Scale Deep Reinforcement Learning OpenAI OpenAI : Christopher Berner Greg Brockman Brooke Chan ... Szymon Sidor Ilya Sutskever Jie Tang Filip Wolski Susan Zhang GNN VLM CLL AI4CE LRM 140 1,820 0 13 Dec 2019
Learning Self-Correctable Policies and Value Functions from Demonstrations with Negative Sampling Yuping Luo Huazhe Xu Tengyu Ma SSL 51 13 0 12 Jul 2019
Imitation Learning as $f$ -Divergence Minimization Liyiming Ke Sanjiban Choudhury Matt Barnes Wen Sun Gilwoo Lee S. Srinivasa VLM 54 161 0 30 May 2019
Provably Efficient Imitation Learning from Observation Alone Wen Sun Anirudh Vemula Byron Boots J. Andrew Bagnell 144 107 0 27 May 2019
Learning Montezuma's Revenge from a Single Demonstration Tim Salimans Richard J. Chen 94 138 0 08 Dec 2018
Dynamic Regret Convergence Analysis and an Adaptive Regularization Algorithm for On-Policy Robot Imitation Learning Yulhwa Kim Michael Laskey A. Tanwani A. Aswani Ken Goldberg 33 10 0 06 Nov 2018
Learning Robust Rewards with Adversarial Inverse Reinforcement Learning Justin Fu Katie Z Luo Sergey Levine 118 749 0 30 Oct 2017
DART: Noise Injection for Robust Imitation Learning Michael Laskey Jonathan Lee Roy Fox Anca Dragan Ken Goldberg 175 244 0 27 Mar 2017
Combining Self-Supervised Learning and Imitation for Vision-Based Rope Manipulation Ashvin Nair Dian Chen Pulkit Agrawal Phillip Isola Pieter Abbeel Jitendra Malik Sergey Levine SSL 50 311 0 06 Mar 2017
Deeply AggreVaTeD: Differentiable Imitation Learning for Sequential Prediction Wen Sun Arun Venkatraman Geoffrey J. Gordon Byron Boots J. Andrew Bagnell 118 235 0 03 Mar 2017
Generative Adversarial Imitation Learning Jonathan Ho Stefano Ermon GAN 131 3,101 0 10 Jun 2016
Guided Cost Learning: Deep Inverse Optimal Control via Policy Optimization Chelsea Finn Sergey Levine Pieter Abbeel 108 946 0 01 Mar 2016
Reinforcement and Imitation Learning via Interactive No-Regret Learning Stéphane Ross J. Andrew Bagnell OffRL 126 264 0 23 Jun 2014
A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning Stéphane Ross Geoffrey J. Gordon J. Andrew Bagnell OffRL 200 3,211 0 02 Nov 2010