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 / 1,517 papers shown

Title
Behavior evolution-inspired approach to walking gait reinforcement training for quadruped robots Yu Wang Wenchuan Jia Yi Sun Dong He 34 0 0 25 Sep 2024
Symbolic State Partitioning for Reinforcement Learning Mohsen Ghaffari Mahsa Varshosaz E. Johnsen Andrzej Wasowski 20 1 0 25 Sep 2024
Neural Coordination and Capacity Control for Inventory Management Carson Eisenach Udaya Ghai Dhruv Madeka Kari Torkkola Dean Phillips Foster Sham Kakade 29 0 0 24 Sep 2024
MaskedMimic: Unified Physics-Based Character Control Through Masked Motion Inpainting Chen Tessler Yunrong Guo Ofir Nabati Gal Chechik Xue Bin Peng VGen AI4CE 45 30 0 22 Sep 2024
Causal Reinforcement Learning for Optimisation of Robot Dynamics in Unknown Environments Julian Gerald Dcruz Sam Mahoney Jia Yun Chua Adoundeth Soukhabandith John Mugabe Weisi Guo Miguel Arana-Catania 29 0 0 20 Sep 2024
Disentangling Recognition and Decision Regrets in Image-Based Reinforcement Learning Alihan Hüyük A. R. Koblitz Atefeh Mohajeri M. Andrews OffRL 40 0 0 19 Sep 2024
Average-Reward Maximum Entropy Reinforcement Learning for Underactuated Double Pendulum Tasks Jean Seong Bjorn Choe Bumkyu Choi Jong-kook Kim 43 2 0 13 Sep 2024
Reinforcement Learning Discovers Efficient Decentralized Graph Path Search Strategies Alexei Pisacane Victor-Alexandru Darvariu Mirco Musolesi 23 0 0 12 Sep 2024
GOPT: Generalizable Online 3D Bin Packing via Transformer-based Deep Reinforcement Learning Heng Xiong Changrong Guo Jian Peng Kai Ding Wenjie Chen Xuchong Qiu Long Bai Jianfeng Xu OffRL 34 4 0 09 Sep 2024
QuantFactor REINFORCE: Mining Steady Formulaic Alpha Factors with Variance-bounded REINFORCE Junjie Zhao Chengxi Zhang Min Qin Peng Yang OOD 31 4 0 08 Sep 2024
Enhancing Sample Efficiency and Exploration in Reinforcement Learning through the Integration of Diffusion Models and Proximal Policy Optimization Gao Tianci Dmitriev D. Dmitry Konstantin A. Neusypin Yang Bo Rao Shengren OffRL 33 1 0 02 Sep 2024
Compatible Gradient Approximations for Actor-Critic Algorithms Baturay Saglam Dionysis Kalogerias 37 0 0 02 Sep 2024
LSR-IGRU: Stock Trend Prediction Based on Long Short-Term Relationships and Improved GRU Peng Zhu Yuante Li Yifan Hu Qinyuan Liu Dawei Cheng Yuqi Liang AIFin AI4TS 46 4 0 26 Aug 2024
Advances in Preference-based Reinforcement Learning: A Review Youssef Abdelkareem Shady Shehata Fakhri Karray OffRL 51 9 0 21 Aug 2024
The Evolution of Reinforcement Learning in Quantitative Finance: A Survey Nikolaos Pippas Cagatay Turkay Elliot A. Ludvig AIFin 95 3 0 20 Aug 2024
SigmaRL: A Sample-Efficient and Generalizable Multi-Agent Reinforcement Learning Framework for Motion Planning Jianye Xu Pan Hu Bassam Alrifaee 44 5 0 14 Aug 2024
Parallel Distributional Deep Reinforcement Learning for Mapless Navigation of Terrestrial Mobile Robots V. A. Kich A. H. Kolling J. C. Jesus Gabriel V. Heisler Hiago Jacobs ... André da Silva Kelbouscas Akihisa Ohya Ricardo B. Grando Paulo Lilles Jorge Drews-Jr D. T. Gamarra 38 3 0 11 Aug 2024
Emergence in Multi-Agent Systems: A Safety Perspective Philipp Altmann Julian Schonberger Steffen Illium Maximilian Zorn Fabian Ritz Tom Haider Simon Burton Thomas Gabor 40 1 0 08 Aug 2024
Model-Based Transfer Learning for Contextual Reinforcement Learning Jung-Hoon Cho Vindula Jayawardana Sirui Li Cathy Wu OffRL 60 0 0 08 Aug 2024
Adversarial Safety-Critical Scenario Generation using Naturalistic Human Driving Priors Kunkun Hao Yonggang Luo Wen Cui Yuqiao Bai Jucheng Yang Songyang Yan Yuxi Pan Zijiang Yang AAML 36 19 0 06 Aug 2024
Generalized Gaussian Temporal Difference Error for Uncertainty-aware Reinforcement Learning Seyeon Kim Joonhun Lee Namhoon Cho Sungjun Han Seungeon Baek 47 0 0 05 Aug 2024
SAPG: Split and Aggregate Policy Gradients Jayesh Singla Ananye Agarwal Deepak Pathak OffRL OnRL 42 3 0 29 Jul 2024
Functional Acceleration for Policy Mirror Descent Veronica Chelu Doina Precup 30 0 0 23 Jul 2024
Evaluation of Reinforcement Learning for Autonomous Penetration Testing using A3C, Q-learning and DQN Norman Becker Daniel Reti Evridiki V. Ntagiou M. Wallum Hans D. Schotten 37 1 0 22 Jul 2024
A Comparative Study of Deep Reinforcement Learning Models: DQN vs PPO vs A2C Neil De La Fuente Daniel A. Vidal Guerra OffRL 24 5 0 19 Jul 2024
Optimistic Q-learning for average reward and episodic reinforcement learning Priyank Agrawal Shipra Agrawal 56 4 0 18 Jul 2024
Random Latent Exploration for Deep Reinforcement Learning Srinath Mahankali Zhang-Wei Hong Ayush Sekhari Alexander Rakhlin Pulkit Agrawal 33 3 0 18 Jul 2024
ROLeR: Effective Reward Shaping in Offline Reinforcement Learning for Recommender Systems Yi Zhang Ruihong Qiu Jiajun Liu Sen Wang OffRL 21 0 0 18 Jul 2024
Graceful task adaptation with a bi-hemispheric RL agent Grant Nicholas L. Kuhlmann Gideon Kowadlo 47 0 0 16 Jul 2024
Any-Property-Conditional Molecule Generation with Self-Criticism using Spanning Trees Alexia Jolicoeur-Martineau A. Baratin Kisoo Kwon Boris Knyazev Yan Zhang 45 1 0 12 Jul 2024
RoboMorph: Evolving Robot Morphology using Large Language Models Kevin Qiu Krzysztof Ciebiera Krzysztof Ciebiera Marek Cygan Marek Cygan Łukasz Kuciński LM&Ro 54 0 0 11 Jul 2024
Preference-Guided Reinforcement Learning for Efficient Exploration Guojian Wang Faguo Wu Xiao Zhang Tianyuan Chen Xuyang Chen Lin Zhao 45 0 0 09 Jul 2024
The Impact of Quantization and Pruning on Deep Reinforcement Learning Models Heng Lu Mehdi Alemi Reza Rawassizadeh 42 1 0 05 Jul 2024
Simplifying Deep Temporal Difference Learning Matteo Gallici Mattie Fellows Benjamin Ellis B. Pou Ivan Masmitja Jakob Foerster Mario Martin OffRL 62 16 0 05 Jul 2024
A Role of Environmental Complexity on Representation Learning in Deep Reinforcement Learning Agents Andrew Liu Alla Borisyuk 37 1 0 03 Jul 2024
Reinforcement Learning-driven Data-intensive Workflow Scheduling for Volunteer Edge-Cloud Motahare Mounesan Mauro Lemus H. Yeddulapalli Prasad Calyam S. Debroy OffRL 19 6 0 01 Jul 2024
Towards shutdownable agents via stochastic choice Elliott Thornley Alexander Roman Christos Ziakas Leyton Ho Louis Thomson 46 0 0 30 Jun 2024
Revealing the Learning Process in Reinforcement Learning Agents Through Attention-Oriented Metrics Charlotte Beylier Simon M. Hofmann Nico Scherf 26 0 0 20 Jun 2024
An Imitative Reinforcement Learning Framework for Autonomous Dogfight Siyuan Li Rongchang Zuo Peng Liu Yingnan Zhao Yingnan Zhao 43 1 0 17 Jun 2024
Exploration by Learning Diverse Skills through Successor State Measures Paul-Antoine Le Tolguenec Yann Besse Florent Teichteil-Königsbuch Dennis G. Wilson Emmanuel Rachelson 40 0 0 14 Jun 2024
Efficient Adaptation in Mixed-Motive Environments via Hierarchical Opponent Modeling and Planning Yizhe Huang Guy Van den Broeck Fanqi Kong Yaodong Yang Song-Chun Zhu Xue Feng 39 3 0 12 Jun 2024
CHARME: A chain-based reinforcement learning approach for the minor embedding problem Hoang M. Ngo Nguyen H K. Do Minh Nhat Vu Tamer Kahveci My T. Thai AI4CE 30 2 0 11 Jun 2024
More Victories, Less Cooperation: Assessing Cicero's Diplomacy Play Wichayaporn Wongkamjan Feng Gu Yanze Wang Ulf Hermjakob Jonathan May Brandon M. Stewart Jonathan K. Kummerfeld Denis Peskoff Jordan L. Boyd-Graber 53 3 0 07 Jun 2024
Towards Dynamic Trend Filtering through Trend Point Detection with Reinforcement Learning Jihyeon Seong Sekwang Oh Jaesik Choi AI4TS 47 0 0 06 Jun 2024
Optimal Rates of Convergence for Entropy Regularization in Discounted Markov Decision Processes Johannes Muller Semih Cayci 50 0 0 06 Jun 2024
Speeding up Policy Simulation in Supply Chain RL Vivek Farias Joren Gijsbrechts Aryan I. Khojandi Tianyi Peng A. Zheng 49 0 0 04 Jun 2024
Adaptive Layer Splitting for Wireless LLM Inference in Edge Computing: A Model-Based Reinforcement Learning Approach Yuxuan Chen Rongpeng Li Xiaoxue Yu Zhifeng Zhao Honggang Zhang 47 9 0 03 Jun 2024
Reciprocal Reward Influence Encourages Cooperation From Self-Interested Agents John L. Zhou Weizhe Hong Jonathan C. Kao 35 0 0 03 Jun 2024
SleeperNets: Universal Backdoor Poisoning Attacks Against Reinforcement Learning Agents Ethan Rathbun Christopher Amato Alina Oprea OffRL AAML 46 4 0 30 May 2024
Learning Latent Graph Structures and their Uncertainty A. Manenti Daniele Zambon Cesare Alippi BDL 38 1 0 30 May 2024