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
Visual Spatial Attention and Proprioceptive Data-Driven Reinforcement Learning for Robust Peg-in-Hole Task Under Variable Conditions André Yuji Yasutomi Hideyuki Ichiwara Hiroshi Ito Hiroki Mori Tetsuya Ogata 9 19 0 27 Dec 2023
ReCoRe: Regularized Contrastive Representation Learning of World Model Rudra P. K. Poudel Harit Pandya Stephan Liwicki Roberto Cipolla DRL OffRL 33 6 0 14 Dec 2023
FoMo Rewards: Can we cast foundation models as reward functions? Ekdeep Singh Lubana Johann Brehmer P. D. Haan Taco S. Cohen OffRL LRM 48 2 0 06 Dec 2023
Tracking Object Positions in Reinforcement Learning: A Metric for Keypoint Detection (extended version) Emma Cramer Jonas Reiher Sebastian Trimpe 19 0 0 01 Dec 2023
An Investigation of Time Reversal Symmetry in Reinforcement Learning Brett Barkley Amy Zhang David Fridovich-Keil 21 1 0 28 Nov 2023
Agent-Aware Training for Agent-Agnostic Action Advising in Deep Reinforcement Learning Yaoquan Wei Shunyu Liu Mingli Song Tongya Zheng Kaixuan Chen Yong Wang Mingli Song 25 0 0 28 Nov 2023
Provable Representation with Efficient Planning for Partial Observable Reinforcement Learning Hongming Zhang Tongzheng Ren Chenjun Xiao Dale Schuurmans Bo Dai 45 4 0 20 Nov 2023
State-Wise Safe Reinforcement Learning With Pixel Observations S. Zhan Yixuan Wang Qingyuan Wu Ruochen Jiao Chao Huang Qi Zhu 51 10 0 03 Nov 2023
Learning to Discover Skills through Guidance Hyunseung Kim ByungKun Lee Hojoon Lee Dongyoon Hwang Sejik Park Kyushik Min Jaegul Choo 49 6 0 31 Oct 2023
Towards Control-Centric Representations in Reinforcement Learning from Images Chen Liu Hongyu Zang Xin Li Yong Heng Yifei Wang Zhen Fang Yisen Wang Mingzhong Wang 33 0 0 25 Oct 2023
AMAGO: Scalable In-Context Reinforcement Learning for Adaptive Agents Jake Grigsby Linxi Fan Yuke Zhu OffRL LM&Ro 38 10 0 15 Oct 2023
Revisiting Plasticity in Visual Reinforcement Learning: Data, Modules and Training Stages Guozheng Ma Lu Li Sen Zhang Zixuan Liu Zhen Wang Yixin Chen Li Shen Xueqian Wang Dacheng Tao OffRL 52 16 0 11 Oct 2023
A Kernel Perspective on Behavioural Metrics for Markov Decision Processes Pablo Samuel Castro Tyler Kastner Prakash Panangaden Mark Rowland 46 4 0 05 Oct 2023
HarmonyDream: Task Harmonization Inside World Models Haoyu Ma Jialong Wu Ningya Feng Chenjun Xiao Dong Li Jianye Hao Jianmin Wang Mingsheng Long 41 7 0 30 Sep 2023
RL-I2IT: Image-to-Image Translation with Deep Reinforcement Learning Xin Wang Ziwei Luo Jing Hu Chengmin Feng Shu Hu Bin Zhu Xi Wu Hongtu Zhu Xin Li Siwei Lyu OffRL VLM 40 1 0 24 Sep 2023
Efficient RL via Disentangled Environment and Agent Representations Kevin Gmelin Shikhar Bahl Russell Mendonca Deepak Pathak DRL 35 8 0 05 Sep 2023
Go Beyond Imagination: Maximizing Episodic Reachability with World Models Yao Fu Run Peng Honglak Lee 24 1 0 25 Aug 2023
DIP-RL: Demonstration-Inferred Preference Learning in Minecraft Ellen R. Novoseller Vinicius G. Goecks David Watkins J. Miller Nicholas R. Waytowich OffRL 34 3 0 22 Jul 2023
Transformers in Reinforcement Learning: A Survey Pranav Agarwal A. Rahman P. St-Charles Simon J. D. Prince Samira Ebrahimi Kahou OffRL 35 19 0 12 Jul 2023
When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment Tianwei Ni Michel Ma Benjamin Eysenbach Pierre-Luc Bacon OffRL 26 35 0 07 Jul 2023
Discovering Hierarchical Achievements in Reinforcement Learning via Contrastive Learning Seungyong Moon Junyoung Yeom Bumsoo Park Hyun Oh Song OffRL 29 3 0 07 Jul 2023
Crossway Diffusion: Improving Diffusion-based Visuomotor Policy via Self-supervised Learning Xiang Li Varun Belagali Jinghuan Shang Michael S. Ryoo 43 28 0 04 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
Introspective Action Advising for Interpretable Transfer Learning Joseph Campbell Yue (Sophie) Guo Fiona Xie Simon Stepputtis Katia Sycara 48 1 0 21 Jun 2023
PLASTIC: Improving Input and Label Plasticity for Sample Efficient Reinforcement Learning Hojoon Lee Hanseul Cho Hyunseung Kim Daehoon Gwak Joonkee Kim Jaegul Choo Se-Young Yun Chulhee Yun OffRL 82 26 0 19 Jun 2023
Simplified Temporal Consistency Reinforcement Learning Yi Zhao Wenshuai Zhao Rinu Boney Arno Solin Joni Pajarinen OffRL 30 13 0 15 Jun 2023
Galactic: Scaling End-to-End Reinforcement Learning for Rearrangement at 100k Steps-Per-Second Vincent-Pierre Berges Andrew Szot Devendra Singh Chaplot Aaron Gokaslan Roozbeh Mottaghi Dhruv Batra Eric Undersander LRM LM&Ro 40 5 0 13 Jun 2023
On the Efficacy of 3D Point Cloud Reinforcement Learning Z. Ling Yuan Yao Xuanlin Li H. Su 3DPC 34 13 0 11 Jun 2023
Model-Based Reinforcement Learning with Multi-Task Offline Pretraining Minting Pan Yitao Zheng Yunbo Wang Xiaokang Yang OffRL 32 0 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
For SALE: State-Action Representation Learning for Deep Reinforcement Learning Scott Fujimoto Wei-Di Chang Edward James Smith S. Gu Doina Precup David Meger OffRL 28 45 0 04 Jun 2023
MA2CL:Masked Attentive Contrastive Learning for Multi-Agent Reinforcement Learning Haolin Song Ming Feng Wen-gang Zhou Houqiang Li OffRL 25 6 0 03 Jun 2023
RLAD: Reinforcement Learning from Pixels for Autonomous Driving in Urban Environments Daniel Coelho Miguel Oliveira Vítor M. F. Santos 25 3 0 29 May 2023
Reinforcement Learning with Simple Sequence Priors Tankred Saanum N. Éltető Peter Dayan Marcel Binz Eric Schulz OffRL 31 7 0 26 May 2023
Inverse Dynamics Pretraining Learns Good Representations for Multitask Imitation David Brandfonbrener Ofir Nachum Joan Bruna AI4CE 31 21 0 26 May 2023
Learning Better with Less: Effective Augmentation for Sample-Efficient Visual Reinforcement Learning Guozheng Ma Linrui Zhang Haoyu Wang Lu Li Zilin Wang Zhen Wang Li Shen Xueqian Wang Dacheng Tao 47 10 0 25 May 2023
Lucy-SKG: Learning to Play Rocket League Efficiently Using Deep Reinforcement Learning V. Moschopoulos Pantelis Kyriakidis A. Lazaridis I. Vlahavas 23 0 0 25 May 2023
Introspective Tips: Large Language Model for In-Context Decision Making Liting Chen Lu Wang Hang Dong Yali Du Jie Yan ... Pu Zhao Si Qin Saravan Rajmohan Qingwei Lin Dongmei Zhang LLMAG LRM 42 24 0 19 May 2023
Instruction Tuned Models are Quick Learners Himanshu Gupta Saurabh Arjun Sawant Swaroop Mishra Mutsumi Nakamura Arindam Mitra Santosh Mashetty Chitta Baral 28 26 0 17 May 2023
Policy Gradient Methods in the Presence of Symmetries and State Abstractions Prakash Panangaden S. Rezaei-Shoshtari Rosie Zhao David Meger Doina Precup 38 2 0 09 May 2023
Distance Weighted Supervised Learning for Offline Interaction Data Joey Hejna Jensen Gao Dorsa Sadigh OffRL 38 13 0 26 Apr 2023
Hierarchical State Abstraction Based on Structural Information Principles Xianghua Zeng Hao Peng Angsheng Li Chunyang Liu Lifang He Philip S. Yu 33 18 0 24 Apr 2023
FastRLAP: A System for Learning High-Speed Driving via Deep RL and Autonomous Practicing Kyle Stachowicz Dhruv Shah Arjun Bhorkar Ilya Kostrikov Sergey Levine OffRL 43 27 0 19 Apr 2023
CASOG: Conservative Actor-critic with SmOoth Gradient for Skill Learning in Robot-Assisted Intervention Hao Li Xiao-Hu Zhou Xiaoliang Xie Shiqi Liu Zhen-Qiu Feng Z. Hou OffRL 16 11 0 19 Apr 2023
UniDexGrasp++: Improving Dexterous Grasping Policy Learning via Geometry-aware Curriculum and Iterative Generalist-Specialist Learning Weikang Wan Haoran Geng Yun-Hai Liu Zikang Shan Yaodong Yang Li Yi He Wang 55 94 0 02 Apr 2023
Ensemble Latent Space Roadmap for Improved Robustness in Visual Action Planning M. Lippi Michael C. Welle Andrea Gasparri Danica Kragic 35 0 0 27 Mar 2023
Model-Based Reinforcement Learning with Isolated Imaginations Minting Pan Xiangming Zhu Yitao Zheng Yunbo Wang Xiaokang Yang 36 0 0 27 Mar 2023
SACPlanner: Real-World Collision Avoidance with a Soft Actor Critic Local Planner and Polar State Representations Khaled Nakhleh Minahil Raza Mack Tang M. Andrews Rinu Boney I. Hadžić Jeongran Lee Atefeh Mohajeri Karina Palyutina 20 4 0 21 Mar 2023
A Survey of Demonstration Learning André Rosa de Sousa Porfírio Correia Luís A. Alexandre OffRL 36 18 0 20 Mar 2023
Predictive Experience Replay for Continual Visual Control and Forecasting Wendong Zhang Geng Chen Xiangming Zhu Siyu Gao Yunbo Wang Xiaokang Yang CLL 57 3 0 12 Mar 2023