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1910.11956
Cited By
Relay Policy Learning: Solving Long-Horizon Tasks via Imitation and Reinforcement Learning
Conference on Robot Learning (CoRL), 2019
25 October 2019
Abhishek Gupta
Vikash Kumar
Corey Lynch
Sergey Levine
Karol Hausman
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Papers citing
"Relay Policy Learning: Solving Long-Horizon Tasks via Imitation and Reinforcement Learning"
50 / 346 papers shown
DiffuserLite: Towards Real-time Diffusion Planning
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Yan Zheng
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MOTO: Offline Pre-training to Online Fine-tuning for Model-based Robot Learning
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354
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Open-Source Reinforcement Learning Environments Implemented in MuJoCo with Franka Manipulator
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Yuntao Li
Xiaohang Yang
Zhiyuan Zhao
Zhuang Lei
Jingdong Zhao
306
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21 Dec 2023
GO-DICE: Goal-Conditioned Option-Aware Offline Imitation Learning via Stationary Distribution Correction Estimation
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Vaibhav Unhelkar
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215
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17 Dec 2023
LiFT: Unsupervised Reinforcement Learning with Foundation Models as Teachers
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Juyong Lee
Jesse Zhang
Sung Ju Hwang
Joseph J Lim
Karl Pertsch
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308
13
0
14 Dec 2023
A Perspective of Q-value Estimation on Offline-to-Online Reinforcement Learning
AAAI Conference on Artificial Intelligence (AAAI), 2023
Yinmin Zhang
Jie Liu
Chuming Li
Yazhe Niu
Yaodong Yang
Yu Liu
Wanli Ouyang
OffRL
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350
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0
12 Dec 2023
Decoupling Meta-Reinforcement Learning with Gaussian Task Contexts and Skills
Hongcai He
Anjie Zhu
Shuang Liang
Feiyu Chen
Jie Shao
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263
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0
11 Dec 2023
DiffVL: Scaling Up Soft Body Manipulation using Vision-Language Driven Differentiable Physics
Zhiao Huang
Feng Chen
Yewen Pu
Chun-Tse Lin
Hao Su
Chuang Gan
308
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Backward Learning for Goal-Conditioned Policies
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Jan Robine
Stefan Harmeling
311
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PlayFusion: Skill Acquisition via Diffusion from Language-Annotated Play
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Shikhar Bahl
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271
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Diffused Task-Agnostic Milestone Planner
Mineui Hong
Minjae Kang
Songhwai Oh
307
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Projected Off-Policy Q-Learning (POP-QL) for Stabilizing Offline Reinforcement Learning
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Gaurav Manek
Felix Berkenkamp
J. Zico Kolter
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281
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25 Nov 2023
LocoMuJoCo: A Comprehensive Imitation Learning Benchmark for Locomotion
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Guoping Zhao
Jan Peters
Davide Tateo
235
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0
04 Nov 2023
What Makes Pre-Trained Visual Representations Successful for Robust Manipulation?
Conference on Robot Learning (CoRL), 2023
Kaylee Burns
Zach Witzel
Jubayer Ibn Hamid
Tianhe Yu
Chelsea Finn
Karol Hausman
OOD
SSL
394
37
0
03 Nov 2023
LOTUS: Continual Imitation Learning for Robot Manipulation Through Unsupervised Skill Discovery
IEEE International Conference on Robotics and Automation (ICRA), 2023
Weikang Wan
Yifeng Zhu
Rutav Shah
Yuke Zhu
SSL
LM&Ro
VLM
CLL
594
54
0
03 Nov 2023
Unleashing the Creative Mind: Language Model As Hierarchical Policy For Improved Exploration on Challenging Problem Solving
Z. Ling
Yunhao Fang
Xuanlin Li
Tongzhou Mu
Mingu Lee
Reza Pourreza
Roland Memisevic
Hao Su
LRM
331
5
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01 Nov 2023
Unleashing the Power of Pre-trained Language Models for Offline Reinforcement Learning
International Conference on Learning Representations (ICLR), 2023
Ruizhe Shi
Yuyao Liu
Yanjie Ze
Simon S. Du
Huazhe Xu
OffRL
RALM
526
35
0
31 Oct 2023
Contrastive Difference Predictive Coding
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Chongyi Zheng
Ruslan Salakhutdinov
Benjamin Eysenbach
AI4TS
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341
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0
31 Oct 2023
Multi Time Scale World Models
Neural Information Processing Systems (NeurIPS), 2023
Vaisakh Shaj
Saleh Gholam Zadeh
Ozan Demir
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Gerhard Neumann
AI4CE
270
6
0
27 Oct 2023
Bootstrap Your Own Skills: Learning to Solve New Tasks with Large Language Model Guidance
Jesse Zhang
Jiahui Zhang
Karl Pertsch
Ziyi Liu
Xiang Ren
Minsuk Chang
Shao-Hua Sun
Joseph J Lim
LLMAG
LM&Ro
488
87
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16 Oct 2023
An Unbiased Look at Datasets for Visuo-Motor Pre-Training
Sudeep Dasari
Mohan Kumar Srirama
Unnat Jain
Abhinav Gupta
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279
54
0
13 Oct 2023
METRA: Scalable Unsupervised RL with Metric-Aware Abstraction
International Conference on Learning Representations (ICLR), 2023
Seohong Park
Oleh Rybkin
Sergey Levine
OffRL
395
78
0
13 Oct 2023
Universal Visual Decomposer: Long-Horizon Manipulation Made Easy
IEEE International Conference on Robotics and Automation (ICRA), 2023
Zichen Zhang
Yunshuang Li
Osbert Bastani
Abhishek Gupta
Dinesh Jayaraman
Yecheng Jason Ma
Luca Weihs
271
27
0
12 Oct 2023
PolyTask: Learning Unified Policies through Behavior Distillation
Siddhant Haldar
Lerrel Pinto
278
10
0
12 Oct 2023
Offline Retraining for Online RL: Decoupled Policy Learning to Mitigate Exploration Bias
Max Sobol Mark
Archit Sharma
Fahim Tajwar
Rafael Rafailov
Sergey Levine
Chelsea Finn
OffRL
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319
4
0
12 Oct 2023
RoboCLIP: One Demonstration is Enough to Learn Robot Policies
Neural Information Processing Systems (NeurIPS), 2023
Sumedh Anand Sontakke
Jesse Zhang
Sébastien M. R. Arnold
Karl Pertsch
Erdem Biyik
Dorsa Sadigh
Chelsea Finn
Laurent Itti
OffRL
247
120
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11 Oct 2023
RoboHive: A Unified Framework for Robot Learning
Neural Information Processing Systems (NeurIPS), 2023
Vikash Kumar
Rutav Shah
Gaoyue Zhou
Vincent Moens
Vittorio Caggiano
Jay Vakil
Abhishek Gupta
Aravind Rajeswaran
263
43
0
10 Oct 2023
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-Policy Gradients: A General Framework for Goal Conditioned RL using
f
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-Divergences
Neural Information Processing Systems (NeurIPS), 2023
Siddhant Agarwal
Ishan Durugkar
Peter Stone
Amy Zhang
276
12
0
10 Oct 2023
Memory-Consistent Neural Networks for Imitation Learning
International Conference on Learning Representations (ICLR), 2023
Kaustubh Sridhar
Souradeep Dutta
Dinesh Jayaraman
James Weimer
Insup Lee
324
15
0
09 Oct 2023
Human-oriented Representation Learning for Robotic Manipulation
Mingxiao Huo
Mingyu Ding
Chenfeng Xu
Thomas Tian
Xinghao Zhu
Yao Mu
Lingfeng Sun
Masayoshi Tomizuka
Wei Zhan
SSL
275
13
0
04 Oct 2023
Generalizable Long-Horizon Manipulations with Large Language Models
Haoyu Zhou
Mingyu Ding
Weikun Peng
Masayoshi Tomizuka
Lin Shao
Chuang Gan
LM&Ro
269
18
0
03 Oct 2023
Generalized Animal Imitator: Agile Locomotion with Versatile Motion Prior
Conference on Robot Learning (CoRL), 2023
Ruihan Yang
Zhuoqun Chen
Jianhan Ma
Chongyi Zheng
Yiyu Chen
Quan Nguyen
Xinze Wang
378
21
0
02 Oct 2023
Predicting Object Interactions with Behavior Primitives: An Application in Stowing Tasks
Conference on Robot Learning (CoRL), 2023
Haonan Chen
Yilong Niu
Kaiwen Hong
Shuijing Liu
Yixuan Wang
Yunzhu Li
Katherine Driggs-Campbell
260
21
0
28 Sep 2023
Efficient RL via Disentangled Environment and Agent Representations
International Conference on Machine Learning (ICML), 2023
Kevin Gmelin
Shikhar Bahl
Russell Mendonca
Deepak Pathak
DRL
328
14
0
05 Sep 2023
Exploring Visual Pre-training for Robot Manipulation: Datasets, Models and Methods
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2023
Ya Jing
Xuelin Zhu
Xingbin Liu
Qie Sima
Taozheng Yang
Yunhai Feng
Tao Kong
LM&Ro
246
19
0
07 Aug 2023
HIQL: Offline Goal-Conditioned RL with Latent States as Actions
Neural Information Processing Systems (NeurIPS), 2023
Seohong Park
Dibya Ghosh
Benjamin Eysenbach
Sergey Levine
OffRL
651
104
0
22 Jul 2023
Breadcrumbs to the Goal: Goal-Conditioned Exploration from Human-in-the-Loop Feedback
M. Torné
Max Balsells
Zihan Wang
Samedh Desai
Tao Chen
Pulkit Agrawal
Abhishek Gupta
240
15
0
20 Jul 2023
Reparameterized Policy Learning for Multimodal Trajectory Optimization
International Conference on Machine Learning (ICML), 2023
Zhiao Huang
Litian Liang
Z. Ling
Xuanlin Li
Chuang Gan
H. Su
213
20
0
20 Jul 2023
XSkill: Cross Embodiment Skill Discovery
Conference on Robot Learning (CoRL), 2023
Mengda Xu
Zhenjia Xu
Cheng Chi
Manuela Veloso
Shuran Song
352
106
0
19 Jul 2023
Multi-Stage Cable Routing through Hierarchical Imitation Learning
IEEE Transactions on robotics (TRO), 2023
Jianlan Luo
Charles Xu
Xinyang Geng
Gilbert Feng
Kuan Fang
L. Tan
S. Schaal
Sergey Levine
756
94
0
18 Jul 2023
Deep Probabilistic Movement Primitives with a Bayesian Aggregator
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2023
Michael Przystupa
Faezeh Haghverd
Martin Jägersand
Samuele Tosatto
209
6
0
11 Jul 2023
Learning from Pixels with Expert Observations
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2023
M. Hoang
Long Dinh
Hai V. Nguyen
OffRL
379
3
0
24 Jun 2023
Minigrid & Miniworld: Modular & Customizable Reinforcement Learning Environments for Goal-Oriented Tasks
Neural Information Processing Systems (NeurIPS), 2023
Maxime Chevalier-Boisvert
Bolun Dai
Mark Towers
Rodrigo de Lazcano
Lucas Willems
Salem Lahlou
Suman Pal
Pablo Samuel Castro
Jordan Terry
VGen
365
322
0
24 Jun 2023
Offline Skill Graph (OSG): A Framework for Learning and Planning using Offline Reinforcement Learning Skills
Ben-ya Halevy
Y. Aperstein
Dotan Di Castro
GP
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174
1
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23 Jun 2023
SPRINT: Scalable Policy Pre-Training via Language Instruction Relabeling
IEEE International Conference on Robotics and Automation (ICRA), 2023
Jesse Zhang
Karl Pertsch
Jiahui Zhang
Joseph J. Lim
LM&Ro
508
22
0
20 Jun 2023
Warm-Start Actor-Critic: From Approximation Error to Sub-optimality Gap
International Conference on Machine Learning (ICML), 2023
Hang Wang
Sen Lin
Junshan Zhang
OffRL
OnRL
239
4
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20 Jun 2023
π
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π
2
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: Policy Representations with Successor Features
International Conference on Learning Representations (ICLR), 2023
Gianluca Scarpellini
Ksenia Konyushkova
Claudio Fantacci
T. Paine
Yutian Chen
Misha Denil
OffRL
256
1
0
16 Jun 2023
Granger-Causal Hierarchical Skill Discovery
Caleb Chuck
Kevin Black
Aditya Arjun
Yuke Zhu
S. Niekum
OffRL
303
4
0
15 Jun 2023
LVLM-eHub: A Comprehensive Evaluation Benchmark for Large Vision-Language Models
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Peng Xu
Wenqi Shao
Kaipeng Zhang
Shiyang Feng
Shuo Liu
Meng Lei
Fanqing Meng
Siyuan Huang
Yu Qiao
Ping Luo
ELM
MLLM
328
237
0
15 Jun 2023
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