Contrastive Learning as Goal-Conditioned Reinforcement Learning

15 June 2022

Tianjun Zhang

Papers citing "Contrastive Learning as Goal-Conditioned Reinforcement Learning"

50 / 110 papers shown

Title
Sample Efficient Reinforcement Learning by Automatically Learning to Compose Subtasks Shuai Han Mehdi Dastani Shihan Wang OffRL 52 1 0 25 Jan 2024
Machine learning for industrial sensing and control: A survey and practical perspective Nathan P. Lawrence S. Damarla Jong Woo Kim Aditya Tulsyan Faraz Amjad Kai Wang Benoît Chachuat Jong Min Lee Biao Huang R. Bhushan Gopaluni AI4CE 40 21 0 24 Jan 2024
PDiT: Interleaving Perception and Decision-making Transformers for Deep Reinforcement Learning Hangyu Mao Rui Zhao Ziyue Li Zhiwei Xu Hao Chen Yiqun Chen Bin Zhang Zhen Xiao Junge Zhang Jiangjin Yin OffRL 19 8 0 26 Dec 2023
LLM-Powered Hierarchical Language Agent for Real-time Human-AI Coordination Jijia Liu Chao Yu Jiaxuan Gao Yuqing Xie Qingmin Liao Yi Wu Yu Wang LLMAG LM&Ro 92 35 0 23 Dec 2023
Value Explicit Pretraining for Learning Transferable Representations Kiran Lekkala Henghui Bao Sumedh Anand Sontakke Laurent Itti SSL 38 0 0 19 Dec 2023
ReRoGCRL: Representation-based Robustness in Goal-Conditioned Reinforcement Learning Xiangyu Yin Sihao Wu Jiaxu Liu Meng Fang Xingyu Zhao Xiaowei Huang Wenjie Ruan AAML 47 5 0 12 Dec 2023
Diffused Task-Agnostic Milestone Planner Mineui Hong Minjae Kang Songhwai Oh 21 6 0 06 Dec 2023
Look Before You Leap: Unveiling the Power of GPT-4V in Robotic Vision-Language Planning Yingdong Hu Fanqi Lin Tong Zhang Li Yi Yang Gao LM&Ro 91 102 0 29 Nov 2023
SMORE: Score Models for Offline Goal-Conditioned Reinforcement Learning Harshit S. Sikchi Rohan Chitnis Ahmed Touati A. Geramifard Amy Zhang S. Niekum OffRL 31 7 0 03 Nov 2023
Contrastive Difference Predictive Coding Chongyi Zheng Ruslan Salakhutdinov Benjamin Eysenbach AI4TS OffRL 28 11 0 31 Oct 2023
GOPlan: Goal-conditioned Offline Reinforcement Learning by Planning with Learned Models Mianchu Wang Rui Yang Xi Chen Hao Sun Meng Fang Giovanni Montana OffRL 36 9 0 30 Oct 2023
TD-MPC2: Scalable, Robust World Models for Continuous Control Nicklas Hansen Hao Su Xiaolong Wang MU 32 127 0 25 Oct 2023
Contrastive Preference Learning: Learning from Human Feedback without RL Joey Hejna Rafael Rafailov Harshit S. Sikchi Chelsea Finn S. Niekum W. B. Knox Dorsa Sadigh OffRL 27 50 0 20 Oct 2023
Zero-Shot Reinforcement Learning from Low Quality Data Scott Jeen Tom Bewley Jonathan M. Cullen OffRL OnRL 36 1 0 26 Sep 2023
How to Fine-tune the Model: Unified Model Shift and Model Bias Policy Optimization Hai Zhang Hang Yu Junqiao Zhao Di Zhang Chang Huang Hongtu Zhou Xiao Zhang Chen Ye 19 9 0 22 Sep 2023
Contrastive Learning for Enhancing Robust Scene Transfer in Vision-based Agile Flight Jiaxu Xing L. Bauersfeld Yunlong Song Chunwei Xing Davide Scaramuzza 23 12 0 18 Sep 2023
BridgeData V2: A Dataset for Robot Learning at Scale Homer Walke Kevin Black Abraham Lee Moo Jin Kim Maximilian Du ... Andre Wang He Vivek Myers Kuan Fang Chelsea Finn Sergey Levine 32 207 0 24 Aug 2023
Learning to Identify Critical States for Reinforcement Learning from Videos Haozhe Liu Mingchen Zhuge Bing Li Yu‐Han Wang Francesco Faccio Guohao Li Jürgen Schmidhuber OffRL 28 6 0 15 Aug 2023
Contrastive Example-Based Control Kyle Hatch Benjamin Eysenbach Rafael Rafailov Tianhe Yu Ruslan Salakhutdinov Sergey Levine Chelsea Finn OffRL 31 4 0 24 Jul 2023
RLCD: Reinforcement Learning from Contrastive Distillation for Language Model Alignment Kevin Kaichuang Yang Dan Klein Asli Celikyilmaz Nanyun Peng Yuandong Tian ALM 36 30 0 24 Jul 2023
HIQL: Offline Goal-Conditioned RL with Latent States as Actions Seohong Park Dibya Ghosh Benjamin Eysenbach Sergey Levine OffRL 30 45 0 22 Jul 2023
PASTA: Pretrained Action-State Transformer Agents Raphael Boige Yannis Flet-Berliac Arthur Flajolet Guillaume Richard Thomas Pierrot LM&Ro OffRL 40 5 0 20 Jul 2023
TACO: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning Ruijie Zheng Xiyao Wang Yanchao Sun Shuang Ma Jieyu Zhao Huazhe Xu Hal Daumé Furong Huang 43 36 0 22 Jun 2023
SPRINT: Scalable Policy Pre-Training via Language Instruction Relabeling Jesse Zhang Karl Pertsch Jiahui Zhang Joseph J. Lim LM&Ro 41 17 0 20 Jun 2023
Value function estimation using conditional diffusion models for control Bogdan Mazoure Walter A. Talbott Miguel Angel Bautista R. Devon Hjelm Alexander Toshev J. Susskind DiffM 30 4 0 09 Jun 2023
Factorized Contrastive Learning: Going Beyond Multi-view Redundancy Paul Pu Liang Zihao Deng Martin Q. Ma James Zou Louis-Philippe Morency Ruslan Salakhutdinov SSL 26 49 0 08 Jun 2023
Value Functions are Control Barrier Functions: Verification of Safe Policies using Control Theory Daniel C.H. Tan Fernando Acero Robert McCarthy Dimitrios Kanoulas Zhibin Li OffRL 37 2 0 06 Jun 2023
Stabilizing Contrastive RL: Techniques for Robotic Goal Reaching from Offline Data Chongyi Zheng Benjamin Eysenbach Homer Walke Patrick Yin Kuan Fang Ruslan Salakhutdinov Sergey Levine SSL OffRL 42 4 0 06 Jun 2023
Inverse Dynamics Pretraining Learns Good Representations for Multitask Imitation David Brandfonbrener Ofir Nachum Joan Bruna AI4CE 26 21 0 26 May 2023
Behavior Contrastive Learning for Unsupervised Skill Discovery Rushuai Yang Chenjia Bai Hongyi Guo Siyuan Li Bin Zhao Zhen Wang Peng Liu Xuelong Li SSL 29 16 0 08 May 2023
Toward Evaluating Robustness of Reinforcement Learning with Adversarial Policy Jiawei Zhao Xingjun Ma Florian Schäfer Xinyu Wang Anima Anandkumar Cong Wang AAML 26 1 0 04 May 2023
Proximal Curriculum for Reinforcement Learning Agents Georgios Tzannetos Bárbara Gomes Ribeiro Parameswaran Kamalaruban Adish Singla 32 5 0 25 Apr 2023
Behavior Retrieval: Few-Shot Imitation Learning by Querying Unlabeled Datasets Maximilian Du Suraj Nair Dorsa Sadigh Chelsea Finn OffRL 27 32 0 18 Apr 2023
Reinforcement Learning from Passive Data via Latent Intentions Dibya Ghosh Chethan Bhateja Sergey Levine OffRL 29 43 0 10 Apr 2023
Goal-Conditioned Imitation Learning using Score-based Diffusion Policies Moritz Reuss M. Li Xiaogang Jia Rudolf Lioutikov DiffM 48 157 0 05 Apr 2023
Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning Tongzhou Wang Antonio Torralba Phillip Isola Amy Zhang OffRL 34 33 0 03 Apr 2023
Accelerating exploration and representation learning with offline pre-training Bogdan Mazoure Jake Bruce Doina Precup Rob Fergus Ankit Anand OffRL 34 5 0 31 Mar 2023
Goal-conditioned Offline Reinforcement Learning through State Space Partitioning Mianchu Wang Yue Jin Giovanni Montana OffRL 21 3 0 16 Mar 2023
On the Role of Emergent Communication for Social Learning in Multi-Agent Reinforcement Learning Seth Karten Siva Kailas Huao Li Katia P. Sycara OffRL 39 4 0 28 Feb 2023
Prioritized offline Goal-swapping Experience Replay Wenyan Yang Joni Pajarinen Dinging Cai Joni Kämäräinen OffRL OnRL 32 0 0 15 Feb 2023
ConCerNet: A Contrastive Learning Based Framework for Automated Conservation Law Discovery and Trustworthy Dynamical System Prediction Wang Zhang Tsui-Wei Weng Subhro Das Alexandre Megretski Lucani E. Daniel Lam M. Nguyen PINN 35 3 0 11 Feb 2023
The Wisdom of Hindsight Makes Language Models Better Instruction Followers Tianjun Zhang Fangchen Liu Justin Wong Pieter Abbeel Joseph E. Gonzalez 28 44 0 10 Feb 2023
Searching Large Neighborhoods for Integer Linear Programs with Contrastive Learning Taoan Huang Aaron Ferber Yuandong Tian B. Dilkina Benoit Steiner 47 22 0 03 Feb 2023
Direct Preference-based Policy Optimization without Reward Modeling Gaon An Junhyeok Lee Xingdong Zuo Norio Kosaka KyungHyun Kim Hyun Oh Song OffRL 32 26 0 30 Jan 2023
Planning Immediate Landmarks of Targets for Model-Free Skill Transfer across Agents Minghuan Liu Zhengbang Zhu Menghui Zhu Yuzheng Zhuang Weinan Zhang Jianye Hao 18 0 0 18 Dec 2022
Contrastive Value Learning: Implicit Models for Simple Offline RL Bogdan Mazoure Benjamin Eysenbach Ofir Nachum Jonathan Tompson SSL OffRL 41 8 0 03 Nov 2022
From Play to Policy: Conditional Behavior Generation from Uncurated Robot Data Zichen Jeff Cui Yibin Wang Nur Muhammad (Mahi) Shafiullah Lerrel Pinto LM&Ro VGen OffRL 27 89 0 18 Oct 2022
Contrastive Retrospection: honing in on critical steps for rapid learning and generalization in RL Chen Sun Wannan Yang Thomas Jiralerspong Dane Malenfant Benjamin Alsbury-Nealy Yoshua Bengio Blake A. Richards OffRL 19 2 0 12 Oct 2022
VIP: Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training Yecheng Jason Ma Shagun Sodhani Dinesh Jayaraman Osbert Bastani Vikash Kumar Amy Zhang SSL OffRL 33 284 0 30 Sep 2022
Understanding Hindsight Goal Relabeling from a Divergence Minimization Perspective Lunjun Zhang Bradly C. Stadie 22 1 0 26 Sep 2022