Prioritized Experience Replay

18 November 2015

David Silver

Papers citing "Prioritized Experience Replay"

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Title
Addressing Inherent Uncertainty: Risk-Sensitive Behavior Generation for Automated Driving using Distributional Reinforcement Learning Julian Bernhard Stefan Pollok Alois Knoll 22 33 0 05 Feb 2021
A review of motion planning algorithms for intelligent robotics Chengmin Zhou Bingding Huang Pasi Fränti 46 4 0 04 Feb 2021
Hybrid Beamforming for mmWave MU-MISO Systems Exploiting Multi-agent Deep Reinforcement Learning Qisheng Wang Xiao Li Shi Jin Yijian Chen 15 12 0 01 Feb 2021
An Empirical Study on the Generalization Power of Neural Representations Learned via Visual Guessing Games Alessandro Suglia Yonatan Bisk Ioannis Konstas Antonio Vergari E. Bastianelli Andrea Vanzo Oliver Lemon 26 8 0 31 Jan 2021
Learning Skills to Navigate without a Master: A Sequential Multi-Policy Reinforcement Learning Algorithm Ambedkar Dukkipati Rajarshi Banerjee Ranga Shaarad Ayyagari Dhaval Parmar Udaybhai 32 6 0 30 Jan 2021
Learning-based vs Model-free Adaptive Control of a MAV under Wind Gust Thomas Chaffre Julien Moras Adrien Chan-Hon-Tong J. Marzat Karl Sammut G. Chenadec Benoit Clement 25 5 0 29 Jan 2021
The MineRL 2020 Competition on Sample Efficient Reinforcement Learning using Human Priors William H. Guss Cayden R. Codel Katja Hofmann Brandon Houghton Noburu Kuno ... John Schulman Manuela Veloso Nicholay Topin Avinash Ummadisingu Phillip Wang OffRL 30 63 0 26 Jan 2021
Multi-intersection Traffic Optimisation: A Benchmark Dataset and a Strong Baseline Hu Wang Hao Chen Qi Wu Congbo Ma Yidong Li Chunhua Shen 36 12 0 24 Jan 2021
Decoupled Exploration and Exploitation Policies for Sample-Efficient Reinforcement Learning William F. Whitney Michael Bloesch Jost Tobias Springenberg A. Abdolmaleki Kyunghyun Cho Martin Riedmiller OffRL 39 13 0 23 Jan 2021
Unifying Cardiovascular Modelling with Deep Reinforcement Learning for Uncertainty Aware Control of Sepsis Treatment Thesath Nanayakkara G. Clermont C. Langmead D. Swigon AI4CE 25 23 0 21 Jan 2021
Hierarchical Reinforcement Learning By Discovering Intrinsic Options Jesse Zhang Haonan Yu Wenyuan Xu BDL 140 82 0 16 Jan 2021
Continuous Deep Q-Learning with Simulator for Stabilization of Uncertain Discrete-Time Systems Junya Ikemoto T. Ushio OffRL 32 5 0 13 Jan 2021
Developing an OpenAI Gym-compatible framework and simulation environment for testing Deep Reinforcement Learning agents solving the Ambulance Location Problem Michael Allen K. Pearn T. Monks OOD 49 6 0 12 Jan 2021
Action Priors for Large Action Spaces in Robotics Ondrej Biza Dian Wang Robert Platt Jan-Willem van de Meent Lawson L. S. Wong 30 14 0 11 Jan 2021
CoachNet: An Adversarial Sampling Approach for Reinforcement Learning E. Abolfathi Jun Luo Peyman Yadmellat K. Rezaee OnRL 19 3 0 07 Jan 2021
Reinforced Imitative Graph Representation Learning for Mobile User Profiling: An Adversarial Training Perspective Dongjie Wang Pengyang Wang Kunpeng Liu Yuanchun Zhou C. Hughes Yanjie Fu 84 29 0 07 Jan 2021
Neural Fitted Q Iteration based Optimal Bidding Strategy in Real Time Reactive Power Market_1 J. Patel Devika Jay Balaraman Ravindran K. Swarup 11 0 0 07 Jan 2021
Deep Reinforcement Learning with Quantum-inspired Experience Replay Qing Wei Hailan Ma Chunlin Chen D. Dong 16 71 0 06 Jan 2021
A Survey of Deep RL and IL for Autonomous Driving Policy Learning Zeyu Zhu Huijing Zhao 86 150 0 06 Jan 2021
Reinforcement Learning with Latent Flow Wenling Shang Xiaofei Wang A. Srinivas Aravind Rajeswaran Yang Gao Pieter Abbeel Michael Laskin OffRL 31 23 0 06 Jan 2021
Context-Aware Safe Reinforcement Learning for Non-Stationary Environments Baiming Chen Zuxin Liu Jiacheng Zhu Mengdi Xu Wenhao Ding Ding Zhao 34 36 0 02 Jan 2021
A Survey on Deep Reinforcement Learning for Audio-Based Applications S. Latif Heriberto Cuayáhuitl Farrukh Pervez Fahad Shamshad Hafiz Shehbaz Ali Min Zhang OffRL 64 73 0 01 Jan 2021
Robotic Grasping of Fully-Occluded Objects using RF Perception Tara Boroushaki Junshan Leng Ian Clester Alberto Rodriguez Fadel M. Adib 26 36 0 31 Dec 2020
Curriculum-based Deep Reinforcement Learning for Quantum Control Hailan Ma D. Dong S. Ding Chunlin Chen 63 35 0 31 Dec 2020
Towards Continual Reinforcement Learning: A Review and Perspectives Khimya Khetarpal Matthew D Riemer Irina Rish Doina Precup CLL OffRL 64 313 0 25 Dec 2020
Auto-Agent-Distiller: Towards Efficient Deep Reinforcement Learning Agents via Neural Architecture Search Y. Fu Zhongzhi Yu Yongan Zhang Yingyan Lin 27 4 0 24 Dec 2020
Self-Imitation Advantage Learning Johan Ferret Olivier Pietquin Matthieu Geist 79 20 0 22 Dec 2020
LiveMap: Real-Time Dynamic Map in Automotive Edge Computing Qiang Liu T. Han Jiang Xie Xie Baekgyu Kim 11 37 0 16 Dec 2020
Revocable Deep Reinforcement Learning with Affinity Regularization for Outlier-Robust Graph Matching Chang-rui Liu Zetian Jiang Runzhong Wang Junchi Yan Lingxiao Huang Pinyan Lu 59 9 0 16 Dec 2020
Learning active learning at the crossroads? evaluation and discussion L. Desreumaux V. Lemaire 30 9 0 16 Dec 2020
Transfer Learning for Efficient Iterative Safety Validation Anthony Corso Mykel J. Kochenderfer 29 5 0 09 Dec 2020
Resolving Implicit Coordination in Multi-Agent Deep Reinforcement Learning with Deep Q-Networks & Game Theory Griffin Adams Sarguna Padmanabhan S. Shekhar 19 1 0 08 Dec 2020
Model-free Neural Counterfactual Regret Minimization with Bootstrap Learning Weiming Liu Bin Li Julian Togelius 31 8 0 03 Dec 2020
Real-time Active Vision for a Humanoid Soccer Robot Using Deep Reinforcement Learning Soheil Khatibi Meisam Teimouri Mahdi Rezaei 6 5 0 27 Nov 2020
Episodic Self-Imitation Learning with Hindsight Tianhong Dai Hengyan Liu Anil Anthony Bharath 21 11 0 26 Nov 2020
Reinforcement Learning for Robust Missile Autopilot Design Bernardo Cortez 16 2 0 26 Nov 2020
Revisiting Rainbow: Promoting more Insightful and Inclusive Deep Reinforcement Learning Research J. Obando-Ceron Pablo Samuel Castro OffRL 30 105 0 20 Nov 2020
Multi-agent Reinforcement Learning Accelerated MCMC on Multiscale Inversion Problem Eric T. Chung Y. Efendiev W. Leung Sai-Mang Pun Zecheng Zhang 19 12 0 17 Nov 2020
Avoiding Tampering Incentives in Deep RL via Decoupled Approval J. Uesato Ramana Kumar Victoria Krakovna Tom Everitt Richard Ngo Shane Legg 50 14 0 17 Nov 2020
Leveraging the Variance of Return Sequences for Exploration Policy Zerong Xi G. Sukthankar 11 0 0 17 Nov 2020
ACDER: Augmented Curiosity-Driven Experience Replay Boyao Li Tao Lu Jiayi Li N. Lu Yinghao Cai Shuo Wang 25 16 0 16 Nov 2020
Deep reinforcement learning for RAN optimization and control Yu Chen Jie Chen G. Krishnamurthi Huijing Yang Huahui Wang Wenjie Zhao 19 1 0 09 Nov 2020
Exploring market power using deep reinforcement learning for intelligent bidding strategies Alexander J. M. Kell M. Forshaw A. Mcgough 8 7 0 08 Nov 2020
B-GAP: Behavior-Rich Simulation and Navigation for Autonomous Driving A. Mavrogiannis Rohan Chandra Tianyi Zhou 50 24 0 07 Nov 2020
Single and Multi-Agent Deep Reinforcement Learning for AI-Enabled Wireless Networks: A Tutorial Amal Feriani Ekram Hossain 42 237 0 06 Nov 2020
Learning Barrier Functions with Memory for Robust Safe Navigation Kehan Long Cheng Qian Jorge Cortés Nikolay Atanasov 33 55 0 03 Nov 2020
Deep Reinforcement Learning Based Dynamic Route Planning for Minimizing Travel Time Yuanzhe Geng Erwu Liu Rui Wang Yiming Liu 17 35 0 03 Nov 2020
Amortized Variational Deep Q Network Haotian Zhang Yuhao Wang Jianyong Sun Zongben Xu BDL 25 0 0 03 Nov 2020
Cooperative Heterogeneous Deep Reinforcement Learning Han Zheng Pengfei Wei Jing Jiang Guodong Long Qinghua Lu Chengqi Zhang 58 12 0 02 Nov 2020
Optimizing Mixed Autonomy Traffic Flow With Decentralized Autonomous Vehicles and Multi-Agent RL Eugene Vinitsky Nathan Lichtlé Kanaad Parvate Alexandre M. Bayen 13 12 0 30 Oct 2020