Asynchronous Methods for Deep Reinforcement Learning

4 February 2016

Volodymyr Mnih

Adria Puigdomenech Badia

David Silver

Papers citing "Asynchronous Methods for Deep Reinforcement Learning"

50 / 1,552 papers shown

Title
Local Connection Reinforcement Learning Method for Efficient Control of Robotic Peg-in-Hole Assembly Yuhang Gai Jiwen Zhang Dan Wu Ken Chen OffRL 32 1 0 24 Oct 2022
On Many-Actions Policy Gradient Michal Nauman Marek Cygan 19 0 0 24 Oct 2022
Climate Change Policy Exploration using Reinforcement Learning Theodore Wolf 29 0 0 23 Oct 2022
Probing Transfer in Deep Reinforcement Learning without Task Engineering Andrei A. Rusu Sebastian Flennerhag Dushyant Rao Razvan Pascanu R. Hadsell 39 6 0 22 Oct 2022
Learning Robust Dynamics through Variational Sparse Gating A. Jain Shivakanth Sujit S. Joshi Vincent Michalski Danijar Hafner Samira Ebrahimi Kahou 27 8 0 21 Oct 2022
Self-Supervised Learning via Maximum Entropy Coding Xin Liu Zhongdao Wang Yali Li Shengjin Wang SSL 39 41 0 20 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
Emerging Threats in Deep Learning-Based Autonomous Driving: A Comprehensive Survey Huiyun Cao Wenlong Zou Yinkun Wang Ting Song Mengjun Liu AAML 56 5 0 19 Oct 2022
Commonsense Knowledge from Scene Graphs for Textual Environments Tsunehiko Tanaka Daiki Kimura Michiaki Tatsubori 20 2 0 19 Oct 2022
ULN: Towards Underspecified Vision-and-Language Navigation Weixi Feng Tsu-Jui Fu Yujie Lu William Yang Wang 51 5 0 18 Oct 2022
CUP: Critic-Guided Policy Reuse Jin Zhang Siyuan Li Chongjie Zhang 34 8 0 15 Oct 2022
COFFEE: Counterfactual Fairness for Personalized Text Generation in Explainable Recommendation Nan Wang Qifan Wang Yi-Chia Wang Maziar Sanjabi Jingzhou Liu Hamed Firooz Hongning Wang Shaoliang Nie 33 6 0 14 Oct 2022
Towards Multi-Agent Reinforcement Learning driven Over-The-Counter Market Simulations N. Vadori Leo Ardon Sumitra Ganesh Thomas Spooner Selim Amrouni Jared Vann Mengda Xu Zeyu Zheng T. Balch Manuela Veloso 25 16 0 13 Oct 2022
Simulated Contextual Bandits for Personalization Tasks from Recommendation Datasets Anton Dereventsov A. Bibin 24 1 0 12 Oct 2022
DQLAP: Deep Q-Learning Recommender Algorithm with Update Policy for a Real Steam Turbine System M. Modirrousta M. A. Shoorehdeli M. Yari A. Ghahremani 24 2 0 12 Oct 2022
Point Cloud Scene Completion with Joint Color and Semantic Estimation from Single RGB-D Image Zhaoxuan Zhang Xiaoguang Han B. Dong Tong Li Baocai Yin Xin Yang 3DPC 3DV 33 8 0 12 Oct 2022
Make Sharpness-Aware Minimization Stronger: A Sparsified Perturbation Approach Peng Mi Li Shen Tianhe Ren Yiyi Zhou Xiaoshuai Sun Rongrong Ji Dacheng Tao AAML 43 69 0 11 Oct 2022
Long N-step Surrogate Stage Reward to Reduce Variances of Deep Reinforcement Learning in Complex Problems Junmin Zhong Ruofan Wu J. Si LRM 30 0 0 10 Oct 2022
Experiential Explanations for Reinforcement Learning Amal Alabdulkarim Madhuri Singh Gennie Mansi Kaely Hall Mark O. Riedl Mark O. Riedl OffRL 43 3 0 10 Oct 2022
How to Enable Uncertainty Estimation in Proximal Policy Optimization Eugene Bykovets Yannick Metz Mennatallah El-Assady Daniel A. Keim J. M. Buhmann UQCV 16 1 0 07 Oct 2022
Self-Adaptive Driving in Nonstationary Environments through Conjectural Online Lookahead Adaptation Tao Li Haozhe Lei Quanyan Zhu 31 11 0 06 Oct 2022
Deep Inventory Management Dhruv Madeka Kari Torkkola Carson Eisenach Anna Luo Dean Phillips Foster Sham M. Kakade BDL 45 15 0 06 Oct 2022
A New Path: Scaling Vision-and-Language Navigation with Synthetic Instructions and Imitation Learning Aishwarya Kamath Peter Anderson Su Wang Jing Yu Koh Alexander Ku Austin Waters Yinfei Yang Jason Baldridge Zarana Parekh LM&Ro 24 45 0 06 Oct 2022
Scaling up Stochastic Gradient Descent for Non-convex Optimisation S. Mohamad H. Alamri A. Bouchachia 50 3 0 06 Oct 2022
Low-Thrust Orbital Transfer using Dynamics-Agnostic Reinforcement Learning Carlos M. Casas B. Carro Antonio J. Sánchez-Esguevillas 22 1 0 06 Oct 2022
Spatial-Temporal-Aware Safe Multi-Agent Reinforcement Learning of Connected Autonomous Vehicles in Challenging Scenarios Zhili Zhang Songyang Han Jiangwei Wang Fei Miao 43 19 0 05 Oct 2022
Learning Dynamic Abstract Representations for Sample-Efficient Reinforcement Learning Mehdi Dadvar Rashmeet Kaur Nayyar Siddharth Srivastava 24 0 0 04 Oct 2022
Is Reinforcement Learning (Not) for Natural Language Processing: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization Rajkumar Ramamurthy Prithviraj Ammanabrolu Kianté Brantley Jack Hessel R. Sifa Christian Bauckhage Hannaneh Hajishirzi Yejin Choi OffRL 31 240 0 03 Oct 2022
MSRL: Distributed Reinforcement Learning with Dataflow Fragments Huanzhou Zhu Bo Zhao Gang Chen Weifeng Chen Yijie Chen Liang Shi Yaodong Yang Peter R. Pietzuch Lei Chen OffRL MoE 22 6 0 03 Oct 2022
Deep Intrinsically Motivated Exploration in Continuous Control Baturay Saglam Suleyman Serdar Kozat 26 4 0 01 Oct 2022
Boosting Exploration in Actor-Critic Algorithms by Incentivizing Plausible Novel States C. Banerjee Zhiyong Chen N. Noman 31 3 0 01 Oct 2022
Reward Shaping for User Satisfaction in a REINFORCE Recommender Konstantina Christakopoulou Can Xu Sai Zhang Sriraj Badam Trevor Potter ... Ya Le Chris Berg E. B. Dixon Ed H. Chi Minmin Chen OffRL 25 8 0 30 Sep 2022
Reinforcement Learning Algorithms: An Overview and Classification Fadi AlMahamid Katarina Grolinger 21 40 0 29 Sep 2022
Dynamic Prompt Learning via Policy Gradient for Semi-structured Mathematical Reasoning Pan Lu Liang Qiu Kai-Wei Chang Ying Nian Wu Song-Chun Zhu Tanmay Rajpurohit Peter Clark Ashwin Kalyan ReLM LRM 61 270 0 29 Sep 2022
Ensemble Reinforcement Learning in Continuous Spaces -- A Hierarchical Multi-Step Approach for Policy Training Gang Chen Victoria Huang OffRL 45 0 0 29 Sep 2022
FIRE: A Failure-Adaptive Reinforcement Learning Framework for Edge Computing Migrations Marie Siew Shikhar Sharma Zekai Li Kun Guo Chao Xu Tania Lorido-Botran Tony Q.S. Quek Carlee Joe-Wong 30 1 0 28 Sep 2022
Improving alignment of dialogue agents via targeted human judgements Amelia Glaese Nat McAleese Maja Trkebacz John Aslanides Vlad Firoiu ... John F. J. Mellor Demis Hassabis Koray Kavukcuoglu Lisa Anne Hendricks G. Irving ALM AAML 239 507 0 28 Sep 2022
Pareto Actor-Critic for Equilibrium Selection in Multi-Agent Reinforcement Learning Filippos Christianos Georgios Papoudakis Stefano V. Albrecht 35 4 0 28 Sep 2022
Resource Allocation for Mobile Metaverse with the Internet of Vehicles over 6G Wireless Communications: A Deep Reinforcement Learning Approach Terence Jie Chua Wen-li Yu Jun Zhao 37 16 0 27 Sep 2022
Inverted Landing in a Small Aerial Robot via Deep Reinforcement Learning for Triggering and Control of Rotational Maneuvers Bryan Habas J. Langelaan Bo Cheng 23 4 0 22 Sep 2022
Towards a Standardised Performance Evaluation Protocol for Cooperative MARL R. Gorsane Omayma Mahjoub Ruan de Kock Roland Dubb Siddarth S. Singh Arnu Pretorius OffRL 44 50 0 21 Sep 2022
Revisiting Discrete Soft Actor-Critic Haibin Zhou Zichuan Lin Junyou Li Qiang Fu Wei Yang Deheng Ye 51 12 0 21 Sep 2022
On the Convergence Theory of Meta Reinforcement Learning with Personalized Policies Haozhi Wang Qing Wang Yunfeng Shao Dong Li Jianye Hao Yinchuan Li 36 0 0 21 Sep 2022
Lamarckian Platform: Pushing the Boundaries of Evolutionary Reinforcement Learning towards Asynchronous Commercial Games Hui Bai R. Shen Yue Lin Bo Xu Ran Cheng VLM 36 5 0 21 Sep 2022
A Deep Reinforcement Learning-Based Charging Scheduling Approach with Augmented Lagrangian for Electric Vehicle Guibin Chen Xiaoying Shi 27 3 0 20 Sep 2022
Age of Semantics in Cooperative Communications: To Expedite Simulation Towards Real via Offline Reinforcement Learning Xianfu Chen Zhifeng Zhao S. Mao Celimuge Wu Honggang Zhang M. Bennis OffRL 31 3 0 19 Sep 2022
An information-theoretic perspective on intrinsic motivation in reinforcement learning: a survey A. Aubret L. Matignon S. Hassas 42 35 0 19 Sep 2022
Rewarding Episodic Visitation Discrepancy for Exploration in Reinforcement Learning Mingqi Yuan Bo Li Xin Jin Wenjun Zeng 36 12 0 19 Sep 2022
Learn the Time to Learn: Replay Scheduling in Continual Learning Marcus Klasson Hedvig Kjellström Chen Zhang CLL 37 9 0 18 Sep 2022
Optimizing Industrial HVAC Systems with Hierarchical Reinforcement Learning William Wong Praneet Dutta Octavian Voicu Yuri Chervonyi Cosmin Paduraru Jerry Luo OffRL AI4CE 34 5 0 16 Sep 2022