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TRAIL: Near-Optimal Imitation Learning with Suboptimal Data

TRAIL: Near-Optimal Imitation Learning with Suboptimal Data

27 October 2021
Mengjiao Yang
Sergey Levine
Ofir Nachum
    OffRL
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Papers citing "TRAIL: Near-Optimal Imitation Learning with Suboptimal Data"

30 / 30 papers shown
Title
Learning Strategy Representation for Imitation Learning in Multi-Agent Games
Learning Strategy Representation for Imitation Learning in Multi-Agent Games
Shiqi Lei
Kanghon Lee
Linjing Li
Jinkyoo Park
OffRL
42
0
0
17 Feb 2025
NBDI: A Simple and Efficient Termination Condition for Skill Extraction from Task-Agnostic Demonstrations
NBDI: A Simple and Efficient Termination Condition for Skill Extraction from Task-Agnostic Demonstrations
Myunsoo Kim
Hayeong Lee
Seong-Woong Shim
JunHo Seo
Byung-Jun Lee
LLMAG
37
0
0
22 Jan 2025
Select to Perfect: Imitating desired behavior from large multi-agent
  data
Select to Perfect: Imitating desired behavior from large multi-agent data
Tim Franzmeyer
Edith Elkind
Philip H. S. Torr
Jakob N. Foerster
Joao Henriques
36
2
0
06 May 2024
Boltzmann State-Dependent Rationality
Boltzmann State-Dependent Rationality
Osher Lerner
24
0
0
26 Apr 2024
ELA: Exploited Level Augmentation for Offline Learning in Zero-Sum Games
ELA: Exploited Level Augmentation for Offline Learning in Zero-Sum Games
Shiqi Lei
Kanghoon Lee
Linjing Li
Jinkyoo Park
Jiachen Li
OffRL
29
1
0
28 Feb 2024
SPRINQL: Sub-optimal Demonstrations driven Offline Imitation Learning
SPRINQL: Sub-optimal Demonstrations driven Offline Imitation Learning
Huy Hoang
Tien Mai
Pradeep Varakantham
OffRL
47
2
0
20 Feb 2024
Understanding What Affects Generalization Gap in Visual Reinforcement
  Learning: Theory and Empirical Evidence
Understanding What Affects Generalization Gap in Visual Reinforcement Learning: Theory and Empirical Evidence
Jiafei Lyu
Le Wan
Xiu Li
Zongqing Lu
CML
OffRL
35
4
0
05 Feb 2024
Inverse Reinforcement Learning by Estimating Expertise of Demonstrators
Inverse Reinforcement Learning by Estimating Expertise of Demonstrators
M. Beliaev
Ramtin Pedarsani
27
1
0
02 Feb 2024
Provable Representation with Efficient Planning for Partial Observable
  Reinforcement Learning
Provable Representation with Efficient Planning for Partial Observable Reinforcement Learning
Hongming Zhang
Tongzheng Ren
Chenjun Xiao
Dale Schuurmans
Bo Dai
45
3
0
20 Nov 2023
Learning to Discover Skills through Guidance
Learning to Discover Skills through Guidance
Hyunseung Kim
ByungKun Lee
Hojoon Lee
Dongyoon Hwang
Sejik Park
Kyushik Min
Jaegul Choo
39
6
0
31 Oct 2023
MimicGen: A Data Generation System for Scalable Robot Learning using
  Human Demonstrations
MimicGen: A Data Generation System for Scalable Robot Learning using Human Demonstrations
Ajay Mandlekar
Soroush Nasiriany
Bowen Wen
Iretiayo Akinola
Yashraj S. Narang
Linxi Fan
Yuke Zhu
Dieter Fox
LM&Ro
82
99
0
26 Oct 2023
A Survey of Imitation Learning: Algorithms, Recent Developments, and
  Challenges
A Survey of Imitation Learning: Algorithms, Recent Developments, and Challenges
Maryam Zare
P. Kebria
Abbas Khosravi
Saeid Nahavandi
16
81
0
05 Sep 2023
Skill Disentanglement for Imitation Learning from Suboptimal
  Demonstrations
Skill Disentanglement for Imitation Learning from Suboptimal Demonstrations
Tianxiang Zhao
Wenchao Yu
Suhang Wang
Lucy Wang
Xiang Zhang
Yuncong Chen
Yanchi Liu
Wei Cheng
Haifeng Chen
22
8
0
13 Jun 2023
Inverse Dynamics Pretraining Learns Good Representations for Multitask
  Imitation
Inverse Dynamics Pretraining Learns Good Representations for Multitask Imitation
David Brandfonbrener
Ofir Nachum
Joan Bruna
AI4CE
20
20
0
26 May 2023
Boosting Reinforcement Learning and Planning with Demonstrations: A
  Survey
Boosting Reinforcement Learning and Planning with Demonstrations: A Survey
Tongzhou Mu
H. Su
OffRL
35
1
0
23 Mar 2023
Learning Options via Compression
Learning Options via Compression
Yiding Jiang
E. Liu
Benjamin Eysenbach
Zico Kolter
Chelsea Finn
OffRL
14
13
0
08 Dec 2022
Pretraining in Deep Reinforcement Learning: A Survey
Pretraining in Deep Reinforcement Learning: A Survey
Zhihui Xie
Zichuan Lin
Junyou Li
Shuai Li
Deheng Ye
OffRL
OnRL
AI4CE
26
23
0
08 Nov 2022
Learning and Retrieval from Prior Data for Skill-based Imitation
  Learning
Learning and Retrieval from Prior Data for Skill-based Imitation Learning
Soroush Nasiriany
Tian Gao
Ajay Mandlekar
Yuke Zhu
SSL
39
47
0
20 Oct 2022
CEIP: Combining Explicit and Implicit Priors for Reinforcement Learning
  with Demonstrations
CEIP: Combining Explicit and Implicit Priors for Reinforcement Learning with Demonstrations
Kai Yan
A. Schwing
Yu-xiong Wang
OffRL
28
2
0
18 Oct 2022
Eliciting Compatible Demonstrations for Multi-Human Imitation Learning
Eliciting Compatible Demonstrations for Multi-Human Imitation Learning
Kanishk Gandhi
Siddharth Karamcheti
Madeline Liao
Dorsa Sadigh
39
22
0
14 Oct 2022
Interactive Language: Talking to Robots in Real Time
Interactive Language: Talking to Robots in Real Time
Corey Lynch
Ayzaan Wahid
Jonathan Tompson
Tianli Ding
James Betker
Robert Baruch
Travis Armstrong
Peter R. Florence
LM&Ro
33
214
0
12 Oct 2022
Pre-Training for Robots: Offline RL Enables Learning New Tasks from a
  Handful of Trials
Pre-Training for Robots: Offline RL Enables Learning New Tasks from a Handful of Trials
Aviral Kumar
Anika Singh
F. Ebert
Mitsuhiko Nakamoto
Yanlai Yang
Chelsea Finn
Sergey Levine
OffRL
OnRL
123
66
0
11 Oct 2022
Spectral Decomposition Representation for Reinforcement Learning
Spectral Decomposition Representation for Reinforcement Learning
Tongzheng Ren
Tianjun Zhang
Lisa Lee
Joseph E. Gonzalez
Dale Schuurmans
Bo Dai
OffRL
40
27
0
19 Aug 2022
PI-ARS: Accelerating Evolution-Learned Visual-Locomotion with Predictive
  Information Representations
PI-ARS: Accelerating Evolution-Learned Visual-Locomotion with Predictive Information Representations
Kuang-Huei Lee
Ofir Nachum
Tingnan Zhang
S. Guadarrama
Jie Tan
Wenhao Yu
24
16
0
27 Jul 2022
Making Linear MDPs Practical via Contrastive Representation Learning
Making Linear MDPs Practical via Contrastive Representation Learning
Tianjun Zhang
Tongzheng Ren
Mengjiao Yang
Joseph E. Gonzalez
Dale Schuurmans
Bo Dai
25
44
0
14 Jul 2022
Chain of Thought Imitation with Procedure Cloning
Chain of Thought Imitation with Procedure Cloning
Mengjiao Yang
Dale Schuurmans
Pieter Abbeel
Ofir Nachum
OffRL
30
29
0
22 May 2022
Semi-Supervised Imitation Learning of Team Policies from Suboptimal
  Demonstrations
Semi-Supervised Imitation Learning of Team Policies from Suboptimal Demonstrations
Sang-Wook Seo
Vaibhav Unhelkar
OffRL
22
5
0
05 May 2022
How to Leverage Unlabeled Data in Offline Reinforcement Learning
How to Leverage Unlabeled Data in Offline Reinforcement Learning
Tianhe Yu
Aviral Kumar
Yevgen Chebotar
Karol Hausman
Chelsea Finn
Sergey Levine
OffRL
27
61
0
03 Feb 2022
Imitation Learning by Estimating Expertise of Demonstrators
Imitation Learning by Estimating Expertise of Demonstrators
M. Beliaev
Andy Shih
Stefano Ermon
Dorsa Sadigh
Ramtin Pedarsani
33
46
0
02 Feb 2022
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on
  Open Problems
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems
Sergey Levine
Aviral Kumar
George Tucker
Justin Fu
OffRL
GP
334
1,951
0
04 May 2020
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