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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 / 345 papers shown
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349
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Yuntao Li
Xiaohang Yang
Zhiyuan Zhao
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288
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GO-DICE: Goal-Conditioned Option-Aware Offline Imitation Learning via Stationary Distribution Correction Estimation
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Vaibhav Unhelkar
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Juyong Lee
Jesse Zhang
Sung Ju Hwang
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297
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A Perspective of Q-value Estimation on Offline-to-Online Reinforcement Learning
AAAI Conference on Artificial Intelligence (AAAI), 2023
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Jie Liu
Chuming Li
Yazhe Niu
Yaodong Yang
Yu Liu
Wanli Ouyang
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342
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12 Dec 2023
Decoupling Meta-Reinforcement Learning with Gaussian Task Contexts and Skills
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Anjie Zhu
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254
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0
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Feng Chen
Yewen Pu
Chun-Tse Lin
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293
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0
11 Dec 2023
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Stefan Harmeling
309
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218
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Diffused Task-Agnostic Milestone Planner
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Minjae Kang
Songhwai Oh
302
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Projected Off-Policy Q-Learning (POP-QL) for Stabilizing Offline Reinforcement Learning
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Gaurav Manek
Felix Berkenkamp
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269
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25 Nov 2023
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Jan Peters
Davide Tateo
230
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04 Nov 2023
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Zach Witzel
Jubayer Ibn Hamid
Tianhe Yu
Chelsea Finn
Karol Hausman
OOD
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382
36
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
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VLM
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539
53
0
03 Nov 2023
Unleashing the Creative Mind: Language Model As Hierarchical Policy For Improved Exploration on Challenging Problem Solving
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Yunhao Fang
Xuanlin Li
Tongzhou Mu
Mingu Lee
Reza Pourreza
Roland Memisevic
Hao Su
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316
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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
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Yuyao Liu
Yanjie Ze
Simon S. Du
Huazhe Xu
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508
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31 Oct 2023
Contrastive Difference Predictive Coding
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Chongyi Zheng
Ruslan Salakhutdinov
Benjamin Eysenbach
AI4TS
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328
26
0
31 Oct 2023
Multi Time Scale World Models
Neural Information Processing Systems (NeurIPS), 2023
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Saleh Gholam Zadeh
Ozan Demir
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242
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Jesse Zhang
Jiahui Zhang
Karl Pertsch
Ziyi Liu
Xiang Ren
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Shao-Hua Sun
Joseph J Lim
LLMAG
LM&Ro
471
85
0
16 Oct 2023
An Unbiased Look at Datasets for Visuo-Motor Pre-Training
Sudeep Dasari
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Unnat Jain
Abhinav Gupta
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266
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0
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METRA: Scalable Unsupervised RL with Metric-Aware Abstraction
International Conference on Learning Representations (ICLR), 2023
Seohong Park
Oleh Rybkin
Sergey Levine
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391
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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
254
26
0
12 Oct 2023
PolyTask: Learning Unified Policies through Behavior Distillation
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Lerrel Pinto
258
10
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12 Oct 2023
Offline Retraining for Online RL: Decoupled Policy Learning to Mitigate Exploration Bias
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Archit Sharma
Fahim Tajwar
Rafael Rafailov
Sergey Levine
Chelsea Finn
OffRL
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307
4
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12 Oct 2023
RoboCLIP: One Demonstration is Enough to Learn Robot Policies
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Sumedh Anand Sontakke
Jesse Zhang
Sébastien M. R. Arnold
Karl Pertsch
Erdem Biyik
Dorsa Sadigh
Chelsea Finn
Laurent Itti
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244
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Vikash Kumar
Rutav Shah
Gaoyue Zhou
Vincent Moens
Vittorio Caggiano
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Abhishek Gupta
Aravind Rajeswaran
232
41
0
10 Oct 2023
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-Policy Gradients: A General Framework for Goal Conditioned RL using
f
f
f
-Divergences
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Siddhant Agarwal
Ishan Durugkar
Peter Stone
Amy Zhang
263
12
0
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Memory-Consistent Neural Networks for Imitation Learning
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Kaustubh Sridhar
Souradeep Dutta
Dinesh Jayaraman
James Weimer
Insup Lee
322
15
0
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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
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273
13
0
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Generalizable Long-Horizon Manipulations with Large Language Models
Haoyu Zhou
Mingyu Ding
Weikun Peng
Masayoshi Tomizuka
Lin Shao
Chuang Gan
LM&Ro
239
18
0
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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
336
21
0
02 Oct 2023
Predicting Object Interactions with Behavior Primitives: An Application in Stowing Tasks
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Haonan Chen
Yilong Niu
Kaiwen Hong
Shuijing Liu
Yixuan Wang
Yunzhu Li
Katherine Driggs-Campbell
256
19
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
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270
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0
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Exploring Visual Pre-training for Robot Manipulation: Datasets, Models and Methods
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2023
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Xuelin Zhu
Xingbin Liu
Qie Sima
Taozheng Yang
Yunhai Feng
Tao Kong
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218
18
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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
561
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Breadcrumbs to the Goal: Goal-Conditioned Exploration from Human-in-the-Loop Feedback
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Samedh Desai
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236
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Reparameterized Policy Learning for Multimodal Trajectory Optimization
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Litian Liang
Z. Ling
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202
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Zhenjia Xu
Cheng Chi
Manuela Veloso
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340
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Multi-Stage Cable Routing through Hierarchical Imitation Learning
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Charles Xu
Xinyang Geng
Gilbert Feng
Kuan Fang
L. Tan
S. Schaal
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746
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Deep Probabilistic Movement Primitives with a Bayesian Aggregator
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191
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Long Dinh
Hai V. Nguyen
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361
3
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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
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362
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173
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SPRINT: Scalable Policy Pre-Training via Language Instruction Relabeling
IEEE International Conference on Robotics and Automation (ICRA), 2023
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Karl Pertsch
Jiahui Zhang
Joseph J. Lim
LM&Ro
473
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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
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230
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π
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π
2
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: Policy Representations with Successor Features
International Conference on Learning Representations (ICLR), 2023
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Ksenia Konyushkova
Claudio Fantacci
T. Paine
Yutian Chen
Misha Denil
OffRL
237
1
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Granger-Causal Hierarchical Skill Discovery
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Kevin Black
Aditya Arjun
Yuke Zhu
S. Niekum
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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
312
236
0
15 Jun 2023
PEAR: Primitive enabled Adaptive Relabeling for boosting Hierarchical Reinforcement Learning
International Conference on Learning Representations (ICLR), 2023
Utsav Singh
Vinay P. Namboodiri
OffRL
494
3
0
10 Jun 2023
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