Prioritized Experience Replay

18 November 2015

David Silver

Papers citing "Prioritized Experience Replay"

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Title
Memory Augmented Policy Optimization for Program Synthesis and Semantic Parsing Chen Liang Mohammad Norouzi Jonathan Berant Quoc V. Le Ni Lao 19 134 0 06 Jul 2018
Goal-oriented Trajectories for Efficient Exploration Fabio Pardo Vitaly Levdik Petar Kormushev 24 2 0 05 Jul 2018
Policy Optimization With Penalized Point Probability Distance: An Alternative To Proximal Policy Optimization Xiangxiang Chu 20 9 0 02 Jul 2018
Learning to Drive in a Day Alex Kendall Jeffrey Hawke David Janz Przemyslaw Mazur Daniele Reda John M. Allen Vinh-Dieu Lam Alex Bewley Amar Shah 42 643 0 01 Jul 2018
Deictic Image Maps: An Abstraction For Learning Pose Invariant Manipulation Policies Robert W. Platt Colin Kohler Marcus Gualtieri 6 11 0 26 Jun 2018
Q-DeckRec: A Fast Deck Recommendation System for Collectible Card Games Zhengxing Chen Chris Amato Truong-Huy D. Nguyen Seth Cooper Yizhou Sun M. S. El-Nasr BDL 19 39 0 26 Jun 2018
Learning-to-Ask: Knowledge Acquisition via 20 Questions Yihong Chen B. Chen Xuguang Duan Jian-Guang Lou Yue Wang Wenwu Zhu Yong Cao 21 15 0 22 Jun 2018
RUDDER: Return Decomposition for Delayed Rewards Jose A. Arjona-Medina Michael Gillhofer Michael Widrich Thomas Unterthiner Johannes Brandstetter Sepp Hochreiter 30 213 0 20 Jun 2018
Sim-to-Real Reinforcement Learning for Deformable Object Manipulation J. Matas Stephen James Andrew J. Davison AI4CE 29 357 0 20 Jun 2018
Evolving simple programs for playing Atari games Dennis G. Wilson Sylvain Cussat-Blanc H. Luga J. Miller 11 62 0 14 Jun 2018
Self-Imitation Learning Junhyuk Oh Yijie Guo Satinder Singh Honglak Lee SSL 11 248 0 14 Jun 2018
Implicit Quantile Networks for Distributional Reinforcement Learning Will Dabney Georg Ostrovski David Silver Rémi Munos OffRL 11 529 0 14 Jun 2018
Qualitative Measurements of Policy Discrepancy for Return-Based Deep Q-Network Wenjia Meng Qian Zheng L. Yang Pengfei Li Gang Pan 20 21 0 14 Jun 2018
Organizing Experience: A Deeper Look at Replay Mechanisms for Sample-based Planning in Continuous State Domains Yangchen Pan M. Zaheer Adam White Andrew Patterson Martha White 9 46 0 12 Jun 2018
Multi-Agent Deep Reinforcement Learning with Human Strategies Thanh Nguyen Ngoc Duy Nguyen S. Nahavandi 27 12 0 12 Jun 2018
Deep Curiosity Loops in Social Environments Jonatan Barkan Goren Gordon 8 2 0 10 Jun 2018
Learning to Search in Long Documents Using Document Structure Mor Geva Jonathan Berant RALM 32 15 0 09 Jun 2018
Randomized Prior Functions for Deep Reinforcement Learning Ian Osband John Aslanides Albin Cassirer UQCV BDL 21 372 0 08 Jun 2018
Program Synthesis Through Reinforcement Learning Guided Tree Search Riley Simmons-Edler Anders Miltner Sebastian Seung 19 10 0 08 Jun 2018
Between Progress and Potential Impact of AI: the Neglected Dimensions Fernando Martínez-Plumed S. Avin Miles Brundage Allan Dafoe Seán Ó hÉigeartaigh José Hernández-Orallo 33 3 0 02 Jun 2018
Deep Curiosity Search: Intra-Life Exploration Can Improve Performance on Challenging Deep Reinforcement Learning Problems C. Stanton Jeff Clune LRM 30 41 0 01 Jun 2018
Sequential Attacks on Agents for Long-Term Adversarial Goals E. Tretschk Seong Joon Oh Mario Fritz OnRL 329 47 1 31 May 2018
Transfer Learning for Related Reinforcement Learning Tasks via Image-to-Image Translation Shani Gamrian Yoav Goldberg 27 105 0 31 May 2018
Sample-Efficient Deep Reinforcement Learning via Episodic Backward Update Su Young Lee Sung-Ik Choi Sae-Young Chung BDL 21 73 0 31 May 2018
Observe and Look Further: Achieving Consistent Performance on Atari Tobias Pohlen Bilal Piot Todd Hester M. G. Azar Dan Horgan ... John Quan Mel Vecerík Matteo Hessel Rémi Munos Olivier Pietquin 28 120 0 29 May 2018
Bayesian Inference with Anchored Ensembles of Neural Networks, and Application to Exploration in Reinforcement Learning Tim Pearce Nicolas Anastassacos Mohamed H. Zaki A. Neely BDL UQCV 22 17 0 29 May 2018
Meta-Gradient Reinforcement Learning Zhongwen Xu H. V. Hasselt David Silver 53 324 0 24 May 2018
Deep Reinforcement Learning For Sequence to Sequence Models Yaser Keneshloo Tian Shi Naren Ramakrishnan Chandan K. Reddy AIMat 3DV OffRL 30 208 0 24 May 2018
Meta-Learning with Hessian-Free Approach in Deep Neural Nets Training Boyu Chen Wenlian Lu Ernest Fokoue 21 1 0 22 May 2018
Constrained Policy Improvement for Safe and Efficient Reinforcement Learning Elad Sarafian Aviv Tamar Sarit Kraus OffRL 32 11 0 20 May 2018
A Lyapunov-based Approach to Safe Reinforcement Learning Yinlam Chow Ofir Nachum Edgar A. Duénez-Guzmán Mohammad Ghavamzadeh 16 500 0 20 May 2018
Episodic Memory Deep Q-Networks Zichuan Lin Tianqi Zhao Guangwen Yang Lintao Zhang OffRL 24 85 0 19 May 2018
Learning Permutations with Sinkhorn Policy Gradient Patrick Emami Sanjay Ranka 16 54 0 18 May 2018
Language Expansion In Text-Based Games Ghulam Ahmed Ansari P. SagarJ. A. Chandar Balaraman Ravindran LLMAG 6 8 0 17 May 2018
Learning Temporal Strategic Relationships using Generative Adversarial Imitation Learning Tharindu Fernando Simon Denman Sridha Sridharan Clinton Fookes GAN 29 26 0 13 May 2018
Deep Hierarchical Reinforcement Learning Algorithm in Partially Observable Markov Decision Processes T. P. Le Ngo Anh Vien Abu Layek TaeChoong Chung 25 51 0 11 May 2018
Deep Reinforcement Learning for Optimal Control of Space Heating Ádám Nagy H. Kazmi Farah Cheaib Johan Driesen AI4CE 8 44 0 10 May 2018
Multimodal Hierarchical Reinforcement Learning Policy for Task-Oriented Visual Dialog Jiaping Zhang Tiancheng Zhao Zhou Yu 14 39 0 08 May 2018
Deep Reinforcement Learning for Playing 2.5D Fighting Games Yu-Jhe Li Hsin-Yu Chang Yu-Jing Lin Po-Wei Wu Y. Wang GAN 11 5 0 05 May 2018
State Distribution-aware Sampling for Deep Q-learning Weichao Li Fuxian Huang Xi Li G. Pan Fei Wu TTA 19 4 0 23 Apr 2018
Distributed Distributional Deterministic Policy Gradients Gabriel Barth-Maron Matthew W. Hoffman David Budden Will Dabney Dan Horgan TB Dhruva Alistair Muldal N. Heess Timothy Lillicrap OffRL 57 477 0 23 Apr 2018
CytonRL: an Efficient Reinforcement Learning Open-source Toolkit Implemented in C++ Xiaolin Wang 14 1 0 14 Apr 2018
Robust Dual View Deep Agent Ibrahim Sobh N. Darwish 16 2 0 13 Apr 2018
MOVI: A Model-Free Approach to Dynamic Fleet Management Takuma Oda Carlee Joe-Wong 6 93 0 13 Apr 2018
A Human Mixed Strategy Approach to Deep Reinforcement Learning Ngoc Duy Nguyen S. Nahavandi Thanh Nguyen 22 12 0 05 Apr 2018
StarCraft Micromanagement with Reinforcement Learning and Curriculum Transfer Learning Kun Shao Yuanheng Zhu Dongbin Zhao 107 170 0 03 Apr 2018
Learning to Run challenge solutions: Adapting reinforcement learning methods for neuromusculoskeletal environments L. Kidzinski Sharada Mohanty Carmichael F. Ong Zhewei Huang Shuchang Zhou ... Sean F. Carroll Jennifer Hicks Sergey Levine M. Salathé Scott L. Delp 40 88 0 02 Apr 2018
Deep Reinforcement Learning for Traffic Light Control in Vehicular Networks Xiaoyuan Liang Xunsheng Du Guiling Wang Zhu Han 35 410 0 29 Mar 2018
Learning Synergies between Pushing and Grasping with Self-supervised Deep Reinforcement Learning Andy Zeng Shuran Song Stefan Welker Johnny Lee Alberto Rodriguez Thomas Funkhouser SSL 13 563 0 27 Mar 2018
Forward-Backward Reinforcement Learning Ashley D. Edwards Laura Downs James C. Davidson 28 38 0 27 Mar 2018