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 / 96 papers shown

Title
Video-Enhanced Offline Reinforcement Learning: A Model-Based Approach Minting Pan Yitao Zheng J. Li Yunbo Wang Xiaokang Yang OffRL 43 0 0 10 May 2025
Towards Better Sample Efficiency in Multi-Agent Reinforcement Learning via Exploration Amir Baghi Jens Sjölund Joakim Bergdahl Linus Gisslén Alessandro Sestini 58 0 0 17 Mar 2025
Studying the Interplay Between the Actor and Critic Representations in Reinforcement Learning Samuel Garcin Trevor A. McInroe P. S. Castro Prakash Panangaden Christopher G. Lucas David Abel Stefano V. Albrecht 51 0 0 08 Mar 2025
Task Aware Dreamer for Task Generalization in Reinforcement Learning Chengyang Ying Zhongkai Hao Xinning Zhou Hang Su Songming Liu Dong Yan Jun Zhu 64 3 0 17 Feb 2025
Dream to Fly: Model-Based Reinforcement Learning for Vision-Based Drone Flight Angel Romero Ashwin Shenai Ismail Geles Elie Aljalbout Davide Scaramuzza 74 1 0 24 Jan 2025
State Chrono Representation for Enhancing Generalization in Reinforcement Learning Jianda Chen Wen Zheng Terence Ng Zichen Chen Sinno Jialin Pan Tianwei Zhang OffRL 35 0 0 09 Nov 2024
Uncovering RL Integration in SSL Loss: Objective-Specific Implications for Data-Efficient RL Ömer Veysel Çağatan Barış Akgün OffRL 34 0 0 22 Oct 2024
Overcoming Slow Decision Frequencies in Continuous Control: Model-Based Sequence Reinforcement Learning for Model-Free Control Devdhar Patel H. Siegelmann OffRL 37 0 0 11 Oct 2024
Zero-Shot Generalization of Vision-Based RL Without Data Augmentation S. Batra Gaurav Sukhatme OffRL DRL 26 1 0 09 Oct 2024
Next state prediction gives rise to entangled, yet compositional representations of objects Tankred Saanum Luca M. Schulze Buschoff Peter Dayan Eric Schulz OCL CoGe OOD 30 1 0 07 Oct 2024
An Examination of Offline-Trained Encoders in Vision-Based Deep Reinforcement Learning for Autonomous Driving S. Mohammed Alp Argun Nicolas Bonnotte Gerd Ascheid OffRL 28 0 0 02 Sep 2024
Towards Aligning Language Models with Textual Feedback Sauc Abadal Lloret S. Dhuliawala K. Murugesan Mrinmaya Sachan VLM 38 1 0 24 Jul 2024
DEAR: Disentangled Environment and Agent Representations for Reinforcement Learning without Reconstruction Ameya Pore Riccardo Muradore Diego DallÁlba DRL 29 1 0 30 Jun 2024
LLaRA: Supercharging Robot Learning Data for Vision-Language Policy Xiang Li Cristina Mata J. Park Kumara Kahatapitiya Yoo Sung Jang ... Kanchana Ranasinghe R. Burgert Mu Cai Yong Jae Lee Michael S. Ryoo LM&Ro 64 25 0 28 Jun 2024
Learning Future Representation with Synthetic Observations for Sample-efficient Reinforcement Learning Xin Liu Yaran Chen Dong Zhao 37 1 0 20 May 2024
Effective Reinforcement Learning Based on Structural Information Principles Xianghua Zeng Hao Peng Dingli Su Angsheng Li 40 0 0 15 Apr 2024
Entity-Centric Reinforcement Learning for Object Manipulation from Pixels Dan Haramati Tal Daniel Aviv Tamar LM&Ro OffRL OCL 34 10 0 01 Apr 2024
Bridging State and History Representations: Understanding Self-Predictive RL Tianwei Ni Benjamin Eysenbach Erfan Seyedsalehi Michel Ma Clement Gehring Aditya Mahajan Pierre-Luc Bacon AI4TS AI4CE 19 20 0 17 Jan 2024
Agent-Aware Training for Agent-Agnostic Action Advising in Deep Reinforcement Learning Yaoquan Wei Shunyu Liu Jie 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 3 0 20 Nov 2023
State-Wise Safe Reinforcement Learning With Pixel Observations S. Zhan Yixuan Wang Qingyuan Wu Ruochen Jiao Chao Huang Qi Zhu 38 10 0 03 Nov 2023
A Kernel Perspective on Behavioural Metrics for Markov Decision Processes P. S. Castro Tyler Kastner Prakash Panangaden Mark Rowland 33 4 0 05 Oct 2023
Simplified Temporal Consistency Reinforcement Learning Yi Zhao Wenshuai Zhao Rinu Boney Juho Kannala J. Pajarinen OffRL 30 12 0 15 Jun 2023
On the Efficacy of 3D Point Cloud Reinforcement Learning Z. Ling Yuan Yao Xuanlin Li H. Su 3DPC 31 13 0 11 Jun 2023
Inverse Dynamics Pretraining Learns Good Representations for Multitask Imitation David Brandfonbrener Ofir Nachum Joan Bruna AI4CE 20 20 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 42 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 13 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 34 23 0 19 May 2023
Policy Gradient Methods in the Presence of Symmetries and State Abstractions Prakash Panangaden S. Rezaei-Shoshtari Rosie Zhao D. Meger Doina Precup 25 2 0 09 May 2023
Distance Weighted Supervised Learning for Offline Interaction Data Joey Hejna Jensen Gao Dorsa Sadigh OffRL 36 12 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 18 16 0 24 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-Nan Wang 44 94 0 02 Apr 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 12 4 0 21 Mar 2023
CRC-RL: A Novel Visual Feature Representation Architecture for Unsupervised Reinforcement Learning Darshita Jain A. Majumder S. Dutta Swagat Kumar SSL 21 1 0 31 Jan 2023
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 32 65 0 12 Dec 2022
A General Purpose Supervisory Signal for Embodied Agents Kunal Pratap Singh Jordi Salvador Luca Weihs Aniruddha Kembhavi SSL 21 3 0 01 Dec 2022
FedGPO: Heterogeneity-Aware Global Parameter Optimization for Efficient Federated Learning Young Geun Kim Carole-Jean Wu FedML 12 5 0 30 Nov 2022
Disentangled (Un)Controllable Features Jacob E. Kooi Mark Hoogendoorn Vincent François-Lavet DRL 19 0 0 31 Oct 2022
On Many-Actions Policy Gradient Michal Nauman Marek Cygan 14 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 Z. Tu OffRL 23 15 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 18 12 0 19 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 32 26 0 10 Oct 2022
Continuous MDP Homomorphisms and Homomorphic Policy Gradient S. Rezaei-Shoshtari Rosie Zhao Prakash Panangaden D. Meger Doina Precup 33 18 0 15 Sep 2022
Stabilizing Off-Policy Deep Reinforcement Learning from Pixels Edoardo Cetin Philip J. Ball Steve Roberts Oya Celiktutan 30 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 84 145 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
Contrastive Learning as Goal-Conditioned Reinforcement Learning Benjamin Eysenbach Tianjun Zhang Ruslan Salakhutdinov Sergey Levine SSL OffRL 25 137 0 15 Jun 2022
Does Self-supervised Learning Really Improve Reinforcement Learning from Pixels? Xiang Li Jinghuan Shang Srijan Das Michael S. Ryoo SSL 27 31 0 10 Jun 2022
The Primacy Bias in Deep Reinforcement Learning Evgenii Nikishin Max Schwarzer P. DÓro Pierre-Luc Bacon Aaron C. Courville OnRL 90 178 0 16 May 2022