Continuous Deep Q-Learning with Model-based Acceleration

2 March 2016

Papers citing "Continuous Deep Q-Learning with Model-based Acceleration"

50 / 170 papers shown

Title
Policy Search by Target Distribution Learning for Continuous Control Chuheng Zhang Yuanqi Li Jian Li 19 6 0 27 May 2019
A Kernel Loss for Solving the Bellman Equation Yihao Feng Lihong Li Qiang Liu 30 70 0 25 May 2019
Target-Based Temporal Difference Learning Donghwan Lee Niao He OOD 14 31 0 24 Apr 2019
Using RGB Image as Visual Input for Mapless Robot Navigation Liulong Ma Yanjie Liu Jiao Chen SSL 39 17 0 24 Mar 2019
Learning to Paint With Model-based Deep Reinforcement Learning Zhewei Huang Wen Heng Shuchang Zhou GAN 24 153 0 11 Mar 2019
Deep Reinforcement Learning for Multi-Agent Systems: A Review of Challenges, Solutions and Applications Thanh Thi Nguyen Ngoc Duy Nguyen S. Nahavandi 27 774 0 31 Dec 2018
TD-Regularized Actor-Critic Methods Simone Parisi Voot Tangkaratt Jan Peters Mohammad Emtiyaz Khan OffRL 24 32 0 19 Dec 2018
Residual Policy Learning Tom Silver Kelsey R. Allen J. Tenenbaum L. Kaelbling OffRL 23 172 0 15 Dec 2018
Learning with Training Wheels: Speeding up Training with a Simple Controller for Deep Reinforcement Learning Linhai Xie Sen Wang Stefano Rosa Andrew Markham A. Trigoni OffRL 22 80 0 12 Dec 2018
Unsupervised Control Through Non-Parametric Discriminative Rewards David Warde-Farley T. Wiele Tejas D. Kulkarni Catalin Ionescu Steven Hansen Volodymyr Mnih DRL OffRL SSL 41 173 0 28 Nov 2018
An initial attempt of combining visual selective attention with deep reinforcement learning Liu Yuezhang Ruohan Zhang D. Ballard 16 20 0 11 Nov 2018
Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space Jiechao Xiong Qing Wang Zhuoran Yang Peng Sun Lei Han Yang Zheng Haobo Fu Tong Zhang Ji Liu Han Liu 35 168 0 10 Oct 2018
Learning Particle Dynamics for Manipulating Rigid Bodies, Deformable Objects, and Fluids Yunzhu Li Jiajun Wu Russ Tedrake J. Tenenbaum Antonio Torralba PINN AI4CE 32 389 0 03 Oct 2018
Deep Learning with Experience Ranking Convolutional Neural Network for Robot Manipulator Hai V. Nguyen Hung M. La M. Deans SSL OffRL 9 8 0 16 Sep 2018
Model-Based Reinforcement Learning via Meta-Policy Optimization I. Clavera Jonas Rothfuss John Schulman Yasuhiro Fujita Tamim Asfour Pieter Abbeel 27 224 0 14 Sep 2018
Emergence of Human-comparable Balancing Behaviors by Deep Reinforcement Learning Chuanyu Yang Taku Komura Zhibin Li 21 20 0 06 Sep 2018
ARCHER: Aggressive Rewards to Counter bias in Hindsight Experience Replay Sameera Lanka Tianfu Wu 25 30 0 06 Sep 2018
A Robotic Auto-Focus System based on Deep Reinforcement Learning Xiaofan Yu Runze Yu Jingsong Yang Xiaohui Duan 21 9 0 05 Sep 2018
Discriminative Deep Dyna-Q: Robust Planning for Dialogue Policy Learning Shang-Yu Su Xiujun Li Jianfeng Gao Jingjing Liu Yun-Nung (Vivian) Chen OffRL 27 67 0 28 Aug 2018
SOLAR: Deep Structured Representations for Model-Based Reinforcement Learning Marvin Zhang Sharad Vikram Laura M. Smith Pieter Abbeel Matthew J. Johnson Sergey Levine OffRL 23 41 0 28 Aug 2018
End-to-End Race Driving with Deep Reinforcement Learning M. Jaritz Raoul de Charette Marin Toromanoff E. Perot F. Nashashibi 6 167 0 06 Jul 2018
BaRC: Backward Reachability Curriculum for Robotic Reinforcement Learning Boris Ivanovic James Harrison Apoorva Sharma Mo Chen Marco Pavone OffRL 32 57 0 16 Jun 2018
Maximum a Posteriori Policy Optimisation A. Abdolmaleki Jost Tobias Springenberg Yuval Tassa Rémi Munos N. Heess Martin Riedmiller 48 470 0 14 Jun 2018
Graph networks as learnable physics engines for inference and control Alvaro Sanchez-Gonzalez N. Heess Jost Tobias Springenberg J. Merel Martin Riedmiller R. Hadsell Peter W. Battaglia GNN AI4CE PINN OCL 42 593 0 04 Jun 2018
Learning convex bounds for linear quadratic control policy synthesis Jack Umenberger Thomas B. Schon 24 12 0 01 Jun 2018
Episodic Memory Deep Q-Networks Zichuan Lin Tianqi Zhao Guangwen Yang Lintao Zhang OffRL 21 85 0 19 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
Lipschitz Continuity in Model-based Reinforcement Learning Kavosh Asadi Dipendra Kumar Misra Michael L. Littman KELM 34 150 0 19 Apr 2018
The Limits and Potentials of Deep Learning for Robotics Niko Sünderhauf Oliver Brock Walter J. Scheirer R. Hadsell Dieter Fox ... B. Upcroft Pieter Abbeel Wolfram Burgard Michael Milford Peter Corke 17 522 0 18 Apr 2018
StarCraft Micromanagement with Reinforcement Learning and Curriculum Transfer Learning Kun Shao Yuanheng Zhu Dongbin Zhao 107 170 0 03 Apr 2018
Forward-Backward Reinforcement Learning Ashley D. Edwards Laura Downs James C. Davidson 17 38 0 27 Mar 2018
Look Before You Leap: Bridging Model-Free and Model-Based Reinforcement Learning for Planned-Ahead Vision-and-Language Navigation Xin Eric Wang Wenhan Xiong Hongmin Wang William Yang Wang 33 198 0 21 Mar 2018
Automated Curriculum Learning by Rewarding Temporally Rare Events Niels Justesen S. Risi OffRL 35 20 0 19 Mar 2018
Composable Deep Reinforcement Learning for Robotic Manipulation Tuomas Haarnoja Vitchyr H. Pong Aurick Zhou Murtaza Dalal Pieter Abbeel Sergey Levine 24 230 0 19 Mar 2018
Policy Search in Continuous Action Domains: an Overview Olivier Sigaud F. Stulp 16 72 0 13 Mar 2018
Deep Learning in Mobile and Wireless Networking: A Survey Chaoyun Zhang P. Patras Hamed Haddadi 45 1,304 0 12 Mar 2018
Synthesizing Neural Network Controllers with Probabilistic Model based Reinforcement Learning J. A. G. Higuera D. Meger Gregory Dudek BDL 22 39 0 06 Mar 2018
Deep Reinforcement Learning for Sponsored Search Real-time Bidding Jun Zhao Guang Qiu Ziyu Guan Wei Zhao Xiaofei He 21 81 0 01 Mar 2018
Model-Based Value Estimation for Efficient Model-Free Reinforcement Learning Vladimir Feinberg Alvin Wan Ion Stoica Michael I. Jordan Joseph E. Gonzalez Sergey Levine OffRL 13 315 0 28 Feb 2018
Investigating Human Priors for Playing Video Games Rachit Dubey Pulkit Agrawal Deepak Pathak Thomas Griffiths Alexei A. Efros OffRL 33 144 0 28 Feb 2018
The Mirage of Action-Dependent Baselines in Reinforcement Learning George Tucker Surya Bhupatiraju S. Gu Richard Turner Zoubin Ghahramani Sergey Levine OffRL 27 126 0 27 Feb 2018
Reinforcement and Imitation Learning for Diverse Visuomotor Skills Yuke Zhu Ziyun Wang J. Merel Andrei A. Rusu Tom Erez ... S. Tunyasuvunakool János Kramár R. Hadsell Nando de Freitas N. Heess SSL 26 316 0 26 Feb 2018
Temporal Difference Models: Model-Free Deep RL for Model-Based Control Vitchyr H. Pong S. Gu Murtaza Dalal Sergey Levine OffRL 66 238 0 25 Feb 2018
Deep Reinforcement Learning using Capsules in Advanced Game Environments Per-Arne Andersen 18 16 0 29 Jan 2018
Experience-driven Networking: A Deep Reinforcement Learning based Approach Zhiyuan Xu Jian Tang Jingsong Meng Weiyi Zhang Yanzhi Wang C. Liu Dejun Yang OffRL 27 359 0 17 Jan 2018
Expected Policy Gradients for Reinforcement Learning K. Ciosek Shimon Whiteson 50 51 0 10 Jan 2018
Least-Squares Temporal Difference Learning for the Linear Quadratic Regulator Stephen Tu Benjamin Recht OffRL 32 130 0 22 Dec 2017
Action Branching Architectures for Deep Reinforcement Learning Arash Tavakoli Fabio Pardo Petar Kormushev 22 258 0 24 Nov 2017
Data Augmentation Generative Adversarial Networks Antreas Antoniou Amos Storkey Harrison Edwards MedIm GAN 65 1,066 0 12 Nov 2017
Applications of Deep Learning and Reinforcement Learning to Biological Data M. S. M. Mahmud M. S. Kaiser Amir Hussain S. Vassanelli OffRL AI4CE 41 641 0 10 Nov 2017