Improving Sample Efficiency in Model-Free Reinforcement Learning from Images

2 October 2019

Papers citing "Improving Sample Efficiency in Model-Free Reinforcement Learning from Images"

50 / 254 papers shown

Title
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
Robust Representation Learning by Clustering with Bisimulation Metrics for Visual Reinforcement Learning with Distractions Qiyuan Liu Qi Zhou Rui Yang Jie Wang OffRL OOD 25 14 0 12 Feb 2023
Combining Reconstruction and Contrastive Methods for Multimodal Representations in RL P. Becker Sebastian Mossburger Fabian Otto Gerhard Neumann SSL 37 2 0 10 Feb 2023
Visual Imitation Learning with Patch Rewards Minghuan Liu Tairan He Weinan Zhang Shuicheng Yan Zhongwen Xu SSL 22 13 0 02 Feb 2023
CRC-RL: A Novel Visual Feature Representation Architecture for Unsupervised Reinforcement Learning Darshita Jain A. Majumder S. Dutta Swagat Kumar SSL 34 1 0 31 Jan 2023
Constrained Policy Optimization with Explicit Behavior Density for Offline Reinforcement Learning Jing Zhang Chi Zhang Wenjia Wang Bing-Yi Jing OffRL 35 7 0 28 Jan 2023
Improving Behavioural Cloning with Positive Unlabeled Learning Qiang-qiang Wang Robert McCarthy David Córdova Bulens Kevin McGuinness Noel E. O'Connor Nico Gürtler Felix Widmaier Francisco Roldan Sanchez S. Redmond OffRL OnRL 34 8 0 27 Jan 2023
Mastering Diverse Domains through World Models Danijar Hafner J. Pašukonis Jimmy Ba Timothy Lillicrap 38 559 0 10 Jan 2023
On Transforming Reinforcement Learning by Transformer: The Development Trajectory Shengchao Hu Li Shen Ya Zhang Yixin Chen Dacheng Tao OffRL 30 25 0 29 Dec 2022
On Pre-Training for Visuo-Motor Control: Revisiting a Learning-from-Scratch Baseline Nicklas Hansen Zhecheng Yuan Yanjie Ze Tongzhou Mu Aravind Rajeswaran H. Su Huazhe Xu Xiaolong Wang 37 65 0 12 Dec 2022
Safe Imitation Learning of Nonlinear Model Predictive Control for Flexible Robots Shamil Mamedov Rudolf Reiter Seyed Mahdi Basiri Azad Joschka Boedecker Moritz Diehl Jan Swevers 21 2 0 06 Dec 2022
A General Purpose Supervisory Signal for Embodied Agents Kunal Pratap Singh Jordi Salvador Luca Weihs Aniruddha Kembhavi SSL 31 3 0 01 Dec 2022
FedGPO: Heterogeneity-Aware Global Parameter Optimization for Efficient Federated Learning Young Geun Kim Carole-Jean Wu FedML 27 5 0 30 Nov 2022
Tackling Visual Control via Multi-View Exploration Maximization Mingqi Yuan Xin Jin Bo Li Wenjun Zeng 33 1 0 28 Nov 2022
Behavior Prior Representation learning for Offline Reinforcement Learning Hongyu Zang Xin Li Jie Yu Chen Liu Riashat Islam Rémi Tachet des Combes Romain Laroche OffRL OnRL 45 10 0 02 Nov 2022
Disentangled (Un)Controllable Features Jacob E. Kooi Mark Hoogendoorn Vincent François-Lavet DRL 27 0 0 31 Oct 2022
On Many-Actions Policy Gradient Michal Nauman Marek Cygan 19 0 0 24 Oct 2022
RMBench: Benchmarking Deep Reinforcement Learning for Robotic Manipulator Control Yanfei Xiang Xin Wang Shu Hu Bin Zhu Xiaomeng Huang Xi Wu Siwei Lyu SSL 29 5 0 20 Oct 2022
On the Feasibility of Cross-Task Transfer with Model-Based Reinforcement Learning Yifan Xu Nicklas Hansen Zirui Wang Yung-Chieh Chan H. Su Zhuowen Tu OffRL 36 16 0 19 Oct 2022
CLUTR: Curriculum Learning via Unsupervised Task Representation Learning Abdus Salam Azad Izzeddin Gur Jasper Emhoff Nathaniel Alexis Aleksandra Faust Pieter Abbeel Ion Stoica SSL 31 12 0 19 Oct 2022
Rethinking Value Function Learning for Generalization in Reinforcement Learning Seungyong Moon JunYeong Lee Hyun Oh Song OOD OffRL 24 16 0 18 Oct 2022
Visual Reinforcement Learning with Self-Supervised 3D Representations Yanjie Ze Nicklas Hansen Yinbo Chen Mohit Jain Xiaolong Wang SSL 32 49 0 13 Oct 2022
Reinforcement Learning with Automated Auxiliary Loss Search Tairan He Yuge Zhang Kan Ren Minghuan Liu Che Wang Weinan Zhang Yuqing Yang Dongsheng Li 38 16 0 12 Oct 2022
Towards a Theoretical Foundation of Policy Optimization for Learning Control Policies Bin Hu Kaipeng Zhang Na Li M. Mesbahi Maryam Fazel Tamer Bacsar 87 27 0 10 Oct 2022
A Comprehensive Survey of Data Augmentation in Visual Reinforcement Learning Guozheng Ma Zhen Wang Zhecheng Yuan Xueqian Wang Bo Yuan Dacheng Tao OffRL 47 27 0 10 Oct 2022
Hyperbolic Deep Reinforcement Learning Edoardo Cetin B. Chamberlain Michael M. Bronstein Jonathan J. Hunt 50 21 0 04 Oct 2022
EUCLID: Towards Efficient Unsupervised Reinforcement Learning with Multi-choice Dynamics Model Yifu Yuan Jianye Hao Fei Ni Yao Mu Yan Zheng Yujing Hu Jinyi Liu Yingfeng Chen Changjie Fan 88 12 0 02 Oct 2022
Visuo-Tactile Transformers for Manipulation Yizhou Chen A. Sipos Mark Van der Merwe Nima Fazeli ViT 64 34 0 30 Sep 2022
Benchmarking Learning Efficiency in Deep Reservoir Computing Hugo Cisneros Josef Sivic Tomas Mikolov 14 2 0 29 Sep 2022
Continuous MDP Homomorphisms and Homomorphic Policy Gradient S. Rezaei-Shoshtari Rosie Zhao Prakash Panangaden David Meger Doina Precup 35 18 0 15 Sep 2022
Self-supervised Sequential Information Bottleneck for Robust Exploration in Deep Reinforcement Learning Bang You Jingming Xie Youping Chen Jan Peters Oleg Arenz 18 2 0 12 Sep 2022
Style-Agnostic Reinforcement Learning Juyong Lee Seokjun Ahn Jaesik Park 33 4 0 31 Aug 2022
Object Goal Navigation using Data Regularized Q-Learning Nandiraju Gireesh D. A. S. Kiran Snehasis Banerjee Mohan Sridharan Brojeshwar Bhowmick Madhava Krishna 12 7 0 27 Aug 2022
Unsupervised Representation Learning in Deep Reinforcement Learning: A Review N. Botteghi M. Poel C. Brune SSL OffRL 41 11 0 27 Aug 2022
Learning Bellman Complete Representations for Offline Policy Evaluation Jonathan D. Chang Kaiwen Wang Nathan Kallus Wen Sun OffRL 29 15 0 12 Jul 2022
Temporal Disentanglement of Representations for Improved Generalisation in Reinforcement Learning Mhairi Dunion Trevor A. McInroe K. Luck Josiah P. Hanna Stefano V. Albrecht OOD DRL 28 18 0 12 Jul 2022
Stabilizing Off-Policy Deep Reinforcement Learning from Pixels Edoardo Cetin Philip J. Ball Steve Roberts Oya Celiktutan 38 36 0 03 Jul 2022
Masked World Models for Visual Control Younggyo Seo Danijar Hafner Hao Liu Fangchen Liu Stephen James Kimin Lee Pieter Abbeel OffRL 93 147 0 28 Jun 2022
Position-Agnostic Autonomous Navigation in Vineyards with Deep Reinforcement Learning Mauro Martini Simone Cerrato Francesco Salvetti Simone Angarano Marcello Chiaberge 65 35 0 28 Jun 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
Multi-Horizon Representations with Hierarchical Forward Models for Reinforcement Learning Trevor A. McInroe Lukas Schafer Stefano V. Albrecht 30 4 0 22 Jun 2022
CtrlFormer: Learning Transferable State Representation for Visual Control via Transformer Yao Mu Shoufa Chen Mingyu Ding Jianyu Chen Runjian Chen Ping Luo ViT 30 9 0 17 Jun 2022
Contrastive Learning as Goal-Conditioned Reinforcement Learning Benjamin Eysenbach Tianjun Zhang Ruslan Salakhutdinov Sergey Levine SSL OffRL 42 141 0 15 Jun 2022
Does Self-supervised Learning Really Improve Reinforcement Learning from Pixels? Xiang Li Jinghuan Shang Srijan Das Michael S. Ryoo SSL 37 31 0 10 Jun 2022
Reinforcement Learning with Neural Radiance Fields Danny Driess Ingmar Schubert Peter R. Florence Yunzhu Li Marc Toussaint AI4CE 49 51 0 03 Jun 2022
Efficient Scheduling of Data Augmentation for Deep Reinforcement Learning Byungchan Ko Jungseul Ok OnRL 27 5 0 01 Jun 2022
Frustratingly Easy Regularization on Representation Can Boost Deep Reinforcement Learning Qiang He Huangyuan Su Jieyu Zhang Xinwen Hou OOD OffRL 30 7 0 29 May 2022
Iso-Dream: Isolating and Leveraging Noncontrollable Visual Dynamics in World Models Minting Pan Xiangming Zhu Yunbo Wang Xiaokang Yang 32 39 0 27 May 2022
The Primacy Bias in Deep Reinforcement Learning Evgenii Nikishin Max Schwarzer P. DÓro Pierre-Luc Bacon Rameswar Panda OnRL 96 182 0 16 May 2022
CCLF: A Contrastive-Curiosity-Driven Learning Framework for Sample-Efficient Reinforcement Learning Chenyu Sun Hangwei Qian Chunyan Miao OffRL 34 12 0 02 May 2022