Return-Based Contrastive Representation Learning for Reinforcement Learning

22 February 2021

Papers citing "Return-Based Contrastive Representation Learning for Reinforcement Learning"

29 / 29 papers shown

Title
Highway Graph to Accelerate Reinforcement Learning Zidu Yin Zhen Zhang Dong Gong Stefano V. Albrecht J. Q. Shi OffRL 39 0 0 08 Jan 2025
Learning Goal-Conditioned Representations for Language Reward Models Vaskar Nath Dylan Slack Jeff Da Yuntao Ma Hugh Zhang Spencer Whitehead Sean Hendryx 32 0 0 18 Jul 2024
Cross-Domain Policy Adaptation by Capturing Representation Mismatch Jiafei Lyu Chenjia Bai Jingwen Yang Zongqing Lu Xiu Li 30 8 0 24 May 2024
Feasibility Consistent Representation Learning for Safe Reinforcement Learning Zhepeng Cen Yi-Fan Yao Zuxin Liu Ding Zhao OffRL 40 3 0 20 May 2024
Sequential Action-Induced Invariant Representation for Reinforcement Learning Dayang Liang Qihang Chen Yunlong Liu 29 4 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
CR-VAE: Contrastive Regularization on Variational Autoencoders for Preventing Posterior Collapse Fotios Lygerakis Elmar Rueckert DRL 19 4 0 06 Sep 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
For SALE: State-Action Representation Learning for Deep Reinforcement Learning Scott Fujimoto Wei-Di Chang Edward James Smith S. Gu Doina Precup D. Meger OffRL 28 45 0 04 Jun 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
Learning Semantic-Agnostic and Spatial-Aware Representation for Generalizable Visual-Audio Navigation Hongchen Wang Yuxuan Wang Fangwei Zhong Min-Yu Wu Jianwei Zhang Yizhou Wang Hao Dong 37 6 0 21 Apr 2023
RePreM: Representation Pre-training with Masked Model for Reinforcement Learning Yuanying Cai Chuheng Zhang Wei Shen Xuyun Zhang Wenjie Ruan Longbo Huang OffRL 32 4 0 03 Mar 2023
Domain Adaptation of Reinforcement Learning Agents based on Network Service Proximity Kaushik Dey S. K. Perepu P. Dasgupta Abir Das 27 1 0 02 Mar 2023
Policy-Induced Self-Supervision Improves Representation Finetuning in Visual RL Sébastien M. R. Arnold Fei Sha SSL 21 0 0 12 Feb 2023
Revisiting Estimation Bias in Policy Gradients for Deep Reinforcement Learning Haoxuan Pan Deheng Ye Xiaoming Duan Qiang Fu Wei Yang Jianping He Mingfei Sun OffRL 25 2 0 20 Jan 2023
Unsupervised Representation Learning in Deep Reinforcement Learning: A Review N. Botteghi M. Poel C. Brune SSL OffRL 36 11 0 27 Aug 2022
Contrastive UCB: Provably Efficient Contrastive Self-Supervised Learning in Online Reinforcement Learning Shuang Qiu Lingxiao Wang Chenjia Bai Zhuoran Yang Zhaoran Wang SSL OffRL 26 32 0 29 Jul 2022
Value-Consistent Representation Learning for Data-Efficient Reinforcement Learning Yang Yue Bingyi Kang Zhongwen Xu Gao Huang Shuicheng Yan OffRL 38 13 0 25 Jun 2022
Learning List-wise Representation in Reinforcement Learning for Ads Allocation with Multiple Auxiliary Tasks Zehua Wang Guogang Liao Xiaowen Shi Xiaoxu Wu Chuheng Zhang Yongkang Wang Xingxing Wang Dong Wang OffRL 19 4 0 02 Apr 2022
Deep Learning Methods for Abstract Visual Reasoning: A Survey on Raven's Progressive Matrices Mikolaj Malkiñski Jacek Mańdziuk 120 41 0 28 Jan 2022
Mask-based Latent Reconstruction for Reinforcement Learning Tao Yu Zhizheng Zhang Cuiling Lan Yan Lu Zhibo Chen 24 44 0 28 Jan 2022
Application of Deep Reinforcement Learning to Payment Fraud Siddharth Vimal Kanishka Kayathwal H. Wadhwa Gaurav Dhama AAML OffRL 22 8 0 08 Dec 2021
Deep Reinforcement Learning at the Edge of the Statistical Precipice Rishabh Agarwal Max Schwarzer Pablo Samuel Castro Aaron Courville Marc G. Bellemare OffRL 59 637 0 30 Aug 2021
CoBERL: Contrastive BERT for Reinforcement Learning Andrea Banino Adria Puidomenech Badia Jacob Walker Tim Scholtes Jovana Mitrović Charles Blundell OffRL 32 36 0 12 Jul 2021
Pretrained Encoders are All You Need Mina Khan P. Srivatsa Advait Rane Shriram Chenniappa Rishabh Anand Sherjil Ozair Pattie Maes SSL VLM 25 6 0 09 Jun 2021
PlayVirtual: Augmenting Cycle-Consistent Virtual Trajectories for Reinforcement Learning Tao Yu Cuiling Lan Wenjun Zeng Mingxiao Feng Zhizheng Zhang Zhibo Chen OffRL 20 46 0 08 Jun 2021
Towards Deeper Deep Reinforcement Learning with Spectral Normalization Johan Bjorck Carla P. Gomes Kilian Q. Weinberger 19 23 0 02 Jun 2021
Learn Goal-Conditioned Policy with Intrinsic Motivation for Deep Reinforcement Learning Jinxin Liu Donglin Wang Qiangxing Tian Zhengyu Chen 32 23 0 11 Apr 2021
A Survey of Deep RL and IL for Autonomous Driving Policy Learning Zeyu Zhu Huijing Zhao 84 147 0 06 Jan 2021