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Prioritized Experience Replay

18 November 2015

David Silver

Papers citing "Prioritized Experience Replay"

50 / 1,454 papers shown

Title
Output-Weighted Sampling for Multi-Armed Bandits with Extreme Payoffs Yibo Yang A. Blanchard T. Sapsis P. Perdikaris 77 19 0 19 Feb 2021
Efficient Reinforcement Learning in Resource Allocation Problems Through Permutation Invariant Multi-task Learning D. Cai Shiau Hong Lim L. Wynter 113 4 0 18 Feb 2021
Improved Deep Reinforcement Learning with Expert Demonstrations for Urban Autonomous Driving Haochen Liu Zhiyu Huang Jingda Wu Chen Lv 100 74 0 18 Feb 2021
Learning Memory-Dependent Continuous Control from Demonstrations Siqing Hou Dongqi Han Jun Tani 28 0 0 18 Feb 2021
Understanding algorithmic collusion with experience replay Bing Han 57 2 0 18 Feb 2021
Automated Curriculum Learning for Embodied Agents: A Neuroevolutionary Approach Nicola Milano S. Nolfi 135 10 0 17 Feb 2021
Training Larger Networks for Deep Reinforcement Learning Keita Ota Devesh K. Jha Asako Kanezaki OffRL 97 40 0 16 Feb 2021
Generalizing Decision Making for Automated Driving with an Invariant Environment Representation using Deep Reinforcement Learning Karl Kurzer Philip Schorner Alexander Albers Hauke Thomsen Karam Daaboul Johann Marius Zöllner 51 11 0 12 Feb 2021
Deep Reinforcement Learning for Backup Strategies against Adversaries Pascal Debus Nicolas Müller Konstantin Böttinger AAML 43 1 0 12 Feb 2021
Measuring Progress in Deep Reinforcement Learning Sample Efficiency Florian E. Dorner 55 13 0 09 Feb 2021
Model-Augmented Q-learning Youngmin Oh Jinwoo Shin Eunho Yang Sung Ju Hwang OffRL 47 1 0 07 Feb 2021
Revisiting Prioritized Experience Replay: A Value Perspective Ang Li Zongqing Lu Chenglin Miao 61 9 0 05 Feb 2021
Experience-Based Heuristic Search: Robust Motion Planning with Deep Q-Learning Julian Bernhard Robert Gieselmann Klemens Esterle Alois Knoll 42 17 0 05 Feb 2021
Addressing Inherent Uncertainty: Risk-Sensitive Behavior Generation for Automated Driving using Distributional Reinforcement Learning Julian Bernhard Stefan Pollok Alois Knoll 47 33 0 05 Feb 2021
A review of motion planning algorithms for intelligent robotics Chengmin Zhou Bingding Huang Pasi Fränti 70 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 40 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 40 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 79 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 47 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 85 65 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 65 13 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 87 16 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 91 24 0 21 Jan 2021
Hierarchical Reinforcement Learning By Discovering Intrinsic Options Jesse Zhang Haonan Yu Wenyuan Xu BDL 223 82 0 16 Jan 2021
Continuous Deep Q-Learning with Simulator for Stabilization of Uncertain Discrete-Time Systems Junya Ikemoto T. Ushio OffRL 53 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 61 7 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 78 14 0 11 Jan 2021
CoachNet: An Adversarial Sampling Approach for Reinforcement Learning E. Abolfathi Jun Luo Peyman Yadmellat K. Rezaee OnRL 51 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 141 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 47 0 0 07 Jan 2021
Deep Reinforcement Learning with Quantum-inspired Experience Replay Qing Wei Hailan Ma Chunlin Chen D. Dong 60 72 0 06 Jan 2021
A Survey of Deep RL and IL for Autonomous Driving Policy Learning Zeyu Zhu Huijing Zhao 147 160 0 06 Jan 2021
Reinforcement Learning with Latent Flow Wenling Shang Xiaofei Wang A. Srinivas Aravind Rajeswaran Yang Gao Pieter Abbeel Michael Laskin OffRL 75 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 64 38 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 123 75 0 01 Jan 2021
Robotic Grasping of Fully-Occluded Objects using RF Perception Tara Boroushaki Junshan Leng Ian Clester Alberto Rodriguez Fadel M. Adib 66 36 0 31 Dec 2020
Curriculum-based Deep Reinforcement Learning for Quantum Control Hailan Ma D. Dong S. Ding Chunlin Chen 82 35 0 31 Dec 2020
Towards Continual Reinforcement Learning: A Review and Perspectives Khimya Khetarpal Matthew D Riemer Irina Rish Doina Precup CLL OffRL 150 324 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 83 4 0 24 Dec 2020
Self-Imitation Advantage Learning Johan Ferret Olivier Pietquin Matthieu Geist 175 20 0 22 Dec 2020
LiveMap: Real-Time Dynamic Map in Automotive Edge Computing Qiang Liu T. Han Jiang Xie Xie Baekgyu Kim 17 39 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 133 10 0 16 Dec 2020
Learning active learning at the crossroads? evaluation and discussion L. Desreumaux V. Lemaire 77 12 0 16 Dec 2020
Transfer Learning for Efficient Iterative Safety Validation Anthony Corso Mykel J. Kochenderfer 68 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 39 1 0 08 Dec 2020
Model-free Neural Counterfactual Regret Minimization with Bootstrap Learning Weiming Liu Bin Li Julian Togelius 83 8 0 03 Dec 2020
Real-time Active Vision for a Humanoid Soccer Robot Using Deep Reinforcement Learning Soheil Khatibi Meisam Teimouri Mahdi Rezaei 32 5 0 27 Nov 2020
Episodic Self-Imitation Learning with Hindsight Tianhong Dai Hengyan Liu Anil Anthony Bharath 32 11 0 26 Nov 2020
Reinforcement Learning for Robust Missile Autopilot Design Bernardo Cortez 20 2 0 26 Nov 2020
Revisiting Rainbow: Promoting more Insightful and Inclusive Deep Reinforcement Learning Research J. Obando-Ceron Pablo Samuel Castro OffRL 92 109 0 20 Nov 2020