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
Bisimulation Makes Analogies in Goal-Conditioned Reinforcement Learning Philippe Hansen-Estruch Amy Zhang Ashvin Nair Patrick Yin Sergey Levine AI4CE 35 28 0 27 Apr 2022
Efficient Bayesian Policy Reuse with a Scalable Observation Model in Deep Reinforcement Learning Donghan Xie Zhi Wang Chunlin Chen D. Dong OffRL 19 2 0 16 Apr 2022
Evaluating Vision Transformer Methods for Deep Reinforcement Learning from Pixels Tianxin Tao Daniele Reda M. van de Panne ViT 13 19 0 11 Apr 2022
Learning to Drive by Watching YouTube Videos: Action-Conditioned Contrastive Policy Pretraining Qihang Zhang Zhenghao Peng Bolei Zhou SSL 30 38 0 05 Apr 2022
Learning Generalizable Dexterous Manipulation from Human Grasp Affordance Yueh-hua Wu Jiashun Wang Xiaolong Wang 31 55 0 05 Apr 2022
Reinforcement Learning with Action-Free Pre-Training from Videos Younggyo Seo Kimin Lee Stephen James Pieter Abbeel SSL OnRL 20 119 0 25 Mar 2022
Asynchronous Reinforcement Learning for Real-Time Control of Physical Robots Yufeng Yuan Rupam Mahmood OffRL 36 19 0 23 Mar 2022
Review of Metrics to Measure the Stability, Robustness and Resilience of Reinforcement Learning L. Pullum 24 2 0 22 Mar 2022
One After Another: Learning Incremental Skills for a Changing World Nur Muhammad (Mahi) Shafiullah Lerrel Pinto CLL 19 13 0 21 Mar 2022
Masked Visual Pre-training for Motor Control Tete Xiao Ilija Radosavovic Trevor Darrell Jitendra Malik SSL 34 242 0 11 Mar 2022
Graph Neural Networks for Relational Inductive Bias in Vision-based Deep Reinforcement Learning of Robot Control Marco Oliva Soubarna Banik Josip Josifovski Alois Knoll 32 5 0 11 Mar 2022
Vision-based Distributed Multi-UAV Collision Avoidance via Deep Reinforcement Learning for Navigation Huaxing Huang Guijie Zhu Zhun Fan Hao Zhai Yuwei Cai Zekun Shi Zhaohui Dong Zhifeng Hao 31 11 0 05 Mar 2022
Integrating Contrastive Learning with Dynamic Models for Reinforcement Learning from Images Bang You Oleg Arenz Youping Chen Jan Peters 19 18 0 02 Mar 2022
Mask-based Latent Reconstruction for Reinforcement Learning Tao Yu Zhizheng Zhang Cuiling Lan Yan Lu Zhibo Chen 24 44 0 28 Jan 2022
From Psychological Curiosity to Artificial Curiosity: Curiosity-Driven Learning in Artificial Intelligence Tasks Chenyu Sun Hangwei Qian Chunyan Miao 18 10 0 20 Jan 2022
Look Closer: Bridging Egocentric and Third-Person Views with Transformers for Robotic Manipulation Rishabh Jangir Nicklas Hansen Sambaran Ghosal Mohit Jain Xiaolong Wang 32 66 0 19 Jan 2022
Accelerating Representation Learning with View-Consistent Dynamics in Data-Efficient Reinforcement Learning Tao Huang Jiacheng Wang Xiao Chen 39 4 0 18 Jan 2022
Control of Dual-Sourcing Inventory Systems using Recurrent Neural Networks Lucas Böttcher Thomas Asikis I. Fragkos BDL 23 10 0 16 Jan 2022
Revisiting PGD Attacks for Stability Analysis of Large-Scale Nonlinear Systems and Perception-Based Control Aaron J. Havens Darioush Keivan Peter M. Seiler Geir Dullerud Bin Hu AAML 25 3 0 03 Jan 2022
SimSR: Simple Distance-based State Representation for Deep Reinforcement Learning Hongyu Zang Xin Li Mingzhong Wang 35 14 0 31 Dec 2021
Towards Disturbance-Free Visual Mobile Manipulation Tianwei Ni Kiana Ehsani Luca Weihs Jordi Salvador 28 9 0 17 Dec 2021
Stochastic Actor-Executor-Critic for Image-to-Image Translation Ziwei Luo Jing Hu Xin Wang Siwei Lyu Bin Kong Youbing Yin Qi Song Xi Wu BDL EGVM 30 5 0 14 Dec 2021
Robust Robotic Control from Pixels using Contrastive Recurrent State-Space Models Nitish Srivastava Walter A. Talbott Martin Bertran Lopez Shuangfei Zhai J. Susskind 43 4 0 02 Dec 2021
Improving Zero-shot Generalization in Offline Reinforcement Learning using Generalized Similarity Functions Bogdan Mazoure Ilya Kostrikov Ofir Nachum Jonathan Tompson OffRL 51 21 0 29 Nov 2021
Learning Representations for Pixel-based Control: What Matters and Why? Manan Tomar Utkarsh Aashu Mishra Amy Zhang Matthew E. Taylor SSL OffRL 28 24 0 15 Nov 2021
Off-policy Imitation Learning from Visual Inputs Zhihao Cheng Li Shen Dacheng Tao 20 2 0 08 Nov 2021
Value Function Spaces: Skill-Centric State Abstractions for Long-Horizon Reasoning Dhruv Shah Peng Xu Yao Lu Ted Xiao Alexander Toshev Sergey Levine Brian Ichter OffRL 37 41 0 04 Nov 2021
Validate on Sim, Detect on Real -- Model Selection for Domain Randomization Gal Leibovich Guy Jacob Shadi Endrawis Gal Novik Aviv Tamar 30 7 0 01 Nov 2021
Mastering Atari Games with Limited Data Weirui Ye Shao-Wei Liu Thanard Kurutach Pieter Abbeel Yang Gao VLM 47 226 0 30 Oct 2021
URLB: Unsupervised Reinforcement Learning Benchmark Michael Laskin Denis Yarats Hao Liu Kimin Lee Albert Zhan Kevin Lu Catherine Cang Lerrel Pinto Pieter Abbeel SSL OffRL 40 134 0 28 Oct 2021
Goal-Aware Cross-Entropy for Multi-Target Reinforcement Learning Kibeom Kim Min Whoo Lee Yoonsung Kim Je-hwan Ryu Minsu Lee Byoung-Tak Zhang 24 8 0 25 Oct 2021
Block Contextual MDPs for Continual Learning Shagun Sodhani Franziska Meier Joelle Pineau Amy Zhang CLL 41 26 0 13 Oct 2021
StARformer: Transformer with State-Action-Reward Representations for Visual Reinforcement Learning Jinghuan Shang Kumara Kahatapitiya Xiang Li Michael S. Ryoo OffRL 45 33 0 12 Oct 2021
Learning Temporally-Consistent Representations for Data-Efficient Reinforcement Learning Trevor A. McInroe Lukas Schafer Stefano V. Albrecht OffRL 31 8 0 11 Oct 2021
Seeking Visual Discomfort: Curiosity-driven Representations for Reinforcement Learning Elie Aljalbout Maximilian Ulmer Rudolph Triebel 24 2 0 02 Oct 2021
Exploratory State Representation Learning Astrid Merckling Nicolas Perrin-Gilbert Alexandre Coninx Stéphane Doncieux OffRL 51 6 0 28 Sep 2021
Making Curiosity Explicit in Vision-based RL Elie Aljalbout Maximilian Ulmer Rudolph Triebel OffRL 34 2 0 28 Sep 2021
Vision Transformer for Learning Driving Policies in Complex Multi-Agent Environments E. Kargar Ville Kyrki ViT 31 13 0 14 Sep 2021
Learning to Navigate Sidewalks in Outdoor Environments Maks Sorokin Jie Tan Karen Liu Sehoon Ha 26 41 0 12 Sep 2021
Deep Reinforcement Learning at the Edge of the Statistical Precipice Rishabh Agarwal Max Schwarzer Pablo Samuel Castro Aaron Courville Marc G. Bellemare OffRL 61 639 0 30 Aug 2021
DRIVE: Deep Reinforced Accident Anticipation with Visual Explanation Wentao Bao Qi Yu Yu Kong FAtt 27 39 0 21 Jul 2021
Mastering Visual Continuous Control: Improved Data-Augmented Reinforcement Learning Denis Yarats Rob Fergus A. Lazaric Lerrel Pinto OffRL 36 338 0 20 Jul 2021
AutoFL: Enabling Heterogeneity-Aware Energy Efficient Federated Learning Young Geun Kim Carole-Jean Wu 26 85 0 16 Jul 2021
Learning Vision-Guided Quadrupedal Locomotion End-to-End with Cross-Modal Transformers Ruihan Yang Minghao Zhang Nicklas Hansen Huazhe Xu Xiaolong Wang OffRL 20 102 0 08 Jul 2021
RRL: Resnet as representation for Reinforcement Learning Rutav Shah Vikash Kumar OffRL 36 112 0 07 Jul 2021
Stabilizing Deep Q-Learning with ConvNets and Vision Transformers under Data Augmentation Nicklas Hansen H. Su Xiaolong Wang OffRL 44 135 0 01 Jul 2021
Learning Task Informed Abstractions Xiang Fu Ge Yang Pulkit Agrawal Tommi Jaakkola 34 65 0 29 Jun 2021
Intrinsically Motivated Self-supervised Learning in Reinforcement Learning Yue Zhao Chenzhuang Du Hang Zhao Tiejun Li SSL 21 4 0 26 Jun 2021
Coarse-to-Fine Q-attention: Efficient Learning for Visual Robotic Manipulation via Discretisation Stephen James Kentaro Wada Tristan Laidlow Andrew J. Davison 38 124 0 23 Jun 2021
MADE: Exploration via Maximizing Deviation from Explored Regions Tianjun Zhang Paria Rashidinejad Jiantao Jiao Yuandong Tian Joseph E. Gonzalez Stuart J. Russell OffRL 34 42 0 18 Jun 2021