Contrastive UCB: Provably Efficient Contrastive Self-Supervised Learning in Online Reinforcement Learning

29 July 2022

Papers citing "Contrastive UCB: Provably Efficient Contrastive Self-Supervised Learning in Online Reinforcement Learning"

28 / 28 papers shown

Title
Primal-Dual Spectral Representation for Off-policy Evaluation Yang Hu Tianyi Chen Na Li Kai Wang Bo Dai OffRL 32 0 0 23 Oct 2024
CURLing the Dream: Contrastive Representations for World Modeling in Reinforcement Learning V. A. Kich J. A. Bottega Raul Steinmetz Ricardo B. Grando Ayano Yorozu Akihisa Ohya OffRL 38 0 0 11 Aug 2024
Spectral Representation for Causal Estimation with Hidden Confounders Tongzheng Ren Haotian Sun Antoine Moulin Arthur Gretton Bo Dai CML 29 1 0 15 Jul 2024
Pessimism Meets Risk: Risk-Sensitive Offline Reinforcement Learning Dake Zhang Boxiang Lyu Shuang Qiu Mladen Kolar Tong Zhang OffRL 30 0 0 10 Jul 2024
Uncertainty-Aware Reward-Free Exploration with General Function Approximation Junkai Zhang Weitong Zhang Dongruo Zhou Q. Gu 49 2 0 24 Jun 2024
Diffusion Spectral Representation for Reinforcement Learning Dmitry Shribak Chen-Xiao Gao Yitong Li Chenjun Xiao Bo Dai DiffM 21 3 0 23 Jun 2024
Contrastive Imitation Learning for Language-guided Multi-Task Robotic Manipulation Teli Ma Jiaming Zhou Zifan Wang Ronghe Qiu Junwei Liang 40 9 0 14 Jun 2024
From Words to Actions: Unveiling the Theoretical Underpinnings of LLM-Driven Autonomous Systems Jianliang He Siyu Chen Fengzhuo Zhang Zhuoran Yang LM&Ro LLMAG 40 2 0 30 May 2024
Bridging Model-Based Optimization and Generative Modeling via Conservative Fine-Tuning of Diffusion Models Masatoshi Uehara Yulai Zhao Ehsan Hajiramezanali Gabriele Scalia Gökçen Eraslan Avantika Lal Sergey Levine Tommaso Biancalani 45 13 0 30 May 2024
Constrained Ensemble Exploration for Unsupervised Skill Discovery Chenjia Bai Rushuai Yang Qiaosheng Zhang Kang Xu Yi Chen Ting Xiao Xuelong Li OffRL 40 3 0 25 May 2024
Ensemble Successor Representations for Task Generalization in Offline-to-Online Reinforcement Learning Changhong Wang Xudong Yu Chenjia Bai Qiaosheng Zhang Zhen Wang 38 1 0 12 May 2024
Pessimistic Value Iteration for Multi-Task Data Sharing in Offline Reinforcement Learning Chenjia Bai Lingxiao Wang Jianye Hao Zhuoran Yang Bin Zhao Zhen Wang Xuelong Li OffRL 29 9 0 30 Apr 2024
Feedback Efficient Online Fine-Tuning of Diffusion Models Masatoshi Uehara Yulai Zhao Kevin Black Ehsan Hajiramezanali Gabriele Scalia N. Diamant Alex Tseng Sergey Levine Tommaso Biancalani 22 21 0 26 Feb 2024
Contrastive Diffuser: Planning Towards High Return States via Contrastive Learning Yixiang Shan Zhengbang Zhu Ting Long Qifan Liang Yi-Ju Chang Weinan Zhang Liang Yin OffRL 34 1 0 05 Feb 2024
OVD-Explorer: Optimism Should Not Be the Sole Pursuit of Exploration in Noisy Environments Jinyi Liu Zhi Wang Yan Zheng Jianye Hao Chenjia Bai Junjie Ye Zhen Wang Haiyin Piao Yang Sun 22 6 0 19 Dec 2023
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
Contrastive Learning for Enhancing Robust Scene Transfer in Vision-based Agile Flight Jiaxu Xing L. Bauersfeld Yunlong Song Chunwei Xing Davide Scaramuzza 20 12 0 18 Sep 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 22 16 0 08 May 2023
Latent Variable Representation for Reinforcement Learning Tongzheng Ren Chenjun Xiao Tianjun Zhang Na Li Zhaoran Wang Sujay Sanghavi Dale Schuurmans Bo Dai OffRL 11 10 0 17 Dec 2022
Spectral Representation Learning for Conditional Moment Models Ziyu Wang Yucen Luo Yueru Li Jun Zhu Bernhard Schölkopf CML 28 7 0 29 Oct 2022
Hybrid RL: Using Both Offline and Online Data Can Make RL Efficient Yuda Song Yi Zhou Ayush Sekhari J. Andrew Bagnell A. Krishnamurthy Wen Sun OffRL OnRL 30 90 0 13 Oct 2022
Spectral Decomposition Representation for Reinforcement Learning Tongzheng Ren Tianjun Zhang Lisa Lee Joseph E. Gonzalez Dale Schuurmans Bo Dai OffRL 32 27 0 19 Aug 2022
Making Linear MDPs Practical via Contrastive Representation Learning Tianjun Zhang Tongzheng Ren Mengjiao Yang Joseph E. Gonzalez Dale Schuurmans Bo Dai 20 44 0 14 Jul 2022
Contrastive Learning as Goal-Conditioned Reinforcement Learning Benjamin Eysenbach Tianjun Zhang Ruslan Salakhutdinov Sergey Levine SSL OffRL 23 137 0 15 Jun 2022
Pessimistic Model-based Offline Reinforcement Learning under Partial Coverage Masatoshi Uehara Wen Sun OffRL 91 33 0 13 Jul 2021
Provably Efficient Representation Selection in Low-rank Markov Decision Processes: From Online to Offline RL Weitong Zhang Jiafan He Dongruo Zhou Amy Zhang Quanquan Gu OffRL 17 11 0 22 Jun 2021
Decoupling Representation Learning from Reinforcement Learning Adam Stooke Kimin Lee Pieter Abbeel Michael Laskin SSL DRL 280 339 0 14 Sep 2020
Deep Reinforcement Learning for Autonomous Driving: A Survey B. R. Kiran Ibrahim Sobh V. Talpaert Patrick Mannion A. A. Sallab S. Yogamani P. Pérez 143 1,628 0 02 Feb 2020