Continuous Deep Q-Learning with Model-based Acceleration

2 March 2016

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

50 / 308 papers shown

Title
Unsupervised Control Through Non-Parametric Discriminative Rewards David Warde-Farley T. Wiele Tejas D. Kulkarni Catalin Ionescu Steven Hansen Volodymyr Mnih DRL OffRL SSL 101 178 0 28 Nov 2018
Policy Optimization with Model-based Explorations Feiyang Pan Qingpeng Cai Anxiang Zeng C. Pan Qing Da Hua-Lin He Qing He Pingzhong Tang 78 11 0 18 Nov 2018
An initial attempt of combining visual selective attention with deep reinforcement learning Liu Yuezhang Ruohan Zhang D. Ballard 80 20 0 11 Nov 2018
Learning Shared Dynamics with Meta-World Models Lisheng Wu Minne Li Jun Wang 32 0 0 05 Nov 2018
Deep Reinforcement Learning Yuxi Li VLM OffRL 194 144 0 15 Oct 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 70 172 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 141 399 0 03 Oct 2018
Reinforcement Learning with Perturbed Rewards Jingkang Wang Yang Liu Yue Liu NoLa 95 131 0 02 Oct 2018
Deep Quality-Value (DQV) Learning M. Sabatelli Gilles Louppe Pierre Geurts M. Wiering OffRL 63 16 0 30 Sep 2018
Propagation Networks for Model-Based Control Under Partial Observation Yunzhu Li Jiajun Wu Jun-Yan Zhu J. Tenenbaum Antonio Torralba Russ Tedrake AI4CE 67 137 0 28 Sep 2018
Muscle Excitation Estimation in Biomechanical Simulation Using NAF Reinforcement Learning A. Abdi Pramit Saha Praneeth Srungarapu S. Fels 49 5 0 17 Sep 2018
Deep Learning with Experience Ranking Convolutional Neural Network for Robot Manipulator Hai V. Nguyen Hung M. La M. Deans SSL OffRL 35 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 83 228 0 14 Sep 2018
Emergence of Human-comparable Balancing Behaviors by Deep Reinforcement Learning Chuanyu Yang Taku Komura Zhibin Li 55 20 0 06 Sep 2018
ARCHER: Aggressive Rewards to Counter bias in Hindsight Experience Replay Sameera Lanka Tianfu Wu 66 30 0 06 Sep 2018
A Robotic Auto-Focus System based on Deep Reinforcement Learning Xiaofan Yu Runze Yu Jingsong Yang Xiaohui Duan 28 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 Chen OffRL 85 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 90 42 0 28 Aug 2018
LIFT: Reinforcement Learning in Computer Systems by Learning From Demonstrations Michael Schaarschmidt A. Kuhnle Ben Ellis Kai Fricke Felix Gessert Eiko Yoneki OffRL 55 41 0 23 Aug 2018
Discrete linear-complexity reinforcement learning in continuous action spaces for Q-learning algorithms P. Tavallali G. Doran L. Mandrake 28 0 0 16 Jul 2018
Remember and Forget for Experience Replay G. Novati Petros Koumoutsakos OffRL 108 92 0 16 Jul 2018
Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees Yuping Luo Huazhe Xu Yuanzhi Li Yuandong Tian Trevor Darrell Tengyu Ma OffRL 121 227 0 10 Jul 2018
Deep-Reinforcement-Learning for Gliding and Perching Bodies G. Novati L. Mahadevan Petros Koumoutsakos 77 9 0 07 Jul 2018
End-to-End Race Driving with Deep Reinforcement Learning M. Jaritz Raoul de Charette Marin Toromanoff E. Perot F. Nashashibi 60 169 0 06 Jul 2018
Sample-Efficient Reinforcement Learning with Stochastic Ensemble Value Expansion Jacob Buckman Danijar Hafner George Tucker E. Brevdo Honglak Lee 97 333 0 04 Jul 2018
QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation Dmitry Kalashnikov A. Irpan P. Pastor Julian Ibarz Alexander Herzog ... Deirdre Quillen E. Holly Mrinal Kalakrishnan Vincent Vanhoucke Sergey Levine 184 1,473 0 27 Jun 2018
BaRC: Backward Reachability Curriculum for Robotic Reinforcement Learning Boris Ivanovic James Harrison Apoorva Sharma Mo Chen Marco Pavone OffRL 97 57 0 16 Jun 2018
Maximum a Posteriori Policy Optimisation A. Abdolmaleki Jost Tobias Springenberg Yuval Tassa Rémi Munos N. Heess Martin Riedmiller 87 479 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 80 46 0 12 Jun 2018
The Effect of Planning Shape on Dyna-style Planning in High-dimensional State Spaces G. Z. Holland Erik Talvitie Michael Bowling AI4CE 72 43 0 05 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 270 603 0 04 Jun 2018
Learning convex bounds for linear quadratic control policy synthesis Jack Umenberger Thomas B. Schon 60 12 0 01 Jun 2018
Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models Kurtland Chua Roberto Calandra R. McAllister Sergey Levine BDL 237 1,290 0 30 May 2018
Learning Real-World Robot Policies by Dreaming A. Piergiovanni Alan Wu Michael S. Ryoo 83 31 0 20 May 2018
A Lyapunov-based Approach to Safe Reinforcement Learning Yinlam Chow Ofir Nachum Edgar A. Duénez-Guzmán Mohammad Ghavamzadeh 165 510 0 20 May 2018
Episodic Memory Deep Q-Networks Zichuan Lin Tianqi Zhao Guangwen Yang Lintao Zhang OffRL 61 87 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 53 52 0 11 May 2018
Falsification of Cyber-Physical Systems Using Deep Reinforcement Learning Takumi Akazaki Shuang Liu Yoriyuki Yamagata Yihai Duan Jianye Hao AI4CE 77 92 0 01 May 2018
A Reinforcement Learning Based Approach for Automated Lane Change Maneuvers Pin Wang Ching-yao Chan A. de La Fortelle 90 253 0 21 Apr 2018
Lipschitz Continuity in Model-based Reinforcement Learning Kavosh Asadi Dipendra Kumar Misra Michael L. Littman KELM 109 156 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 89 530 0 18 Apr 2018
StarCraft Micromanagement with Reinforcement Learning and Curriculum Transfer Learning Kun Shao Yuanheng Zhu Dongbin Zhao 145 171 0 03 Apr 2018
Recall Traces: Backtracking Models for Efficient Reinforcement Learning Anirudh Goyal Philemon Brakel W. Fedus Soumye Singhal Timothy Lillicrap Sergey Levine Hugo Larochelle Yoshua Bengio OffRL 100 68 0 02 Apr 2018
Learning to Adapt in Dynamic, Real-World Environments Through Meta-Reinforcement Learning Anusha Nagabandi I. Clavera Simin Liu R. Fearing Pieter Abbeel Sergey Levine Chelsea Finn 196 555 0 30 Mar 2018
Forward-Backward Reinforcement Learning Ashley D. Edwards Laura Downs James C. Davidson 75 38 0 27 Mar 2018
Automated Driving Maneuvers under Interactive Environment based on Deep Reinforcement Learning Pin Wang Ching-yao Chan Hanhan Li 62 12 0 25 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 85 202 0 21 Mar 2018
Automated Curriculum Learning by Rewarding Temporally Rare Events Niels Justesen S. Risi OffRL 69 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 147 234 0 19 Mar 2018
Policy Search in Continuous Action Domains: an Overview Olivier Sigaud F. Stulp 128 73 0 13 Mar 2018