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
OffWorld Gym: open-access physical robotics environment for real-world reinforcement learning benchmark and research Ashish Kumar Toby Buckley John B. Lanier Qiaozhi Wang A. Kavelaars Ilya Kuzovkin OffRL 90 14 0 18 Oct 2019
Multi-View Reinforcement Learning Minne Li Lisheng Wu Haitham Bou-Ammar Jun Wang 64 26 0 18 Oct 2019
Imagined Value Gradients: Model-Based Policy Optimization with Transferable Latent Dynamics Models Arunkumar Byravan Jost Tobias Springenberg A. Abdolmaleki Roland Hafner Michael Neunert Thomas Lampe Noah Y. Siegel N. Heess Martin Riedmiller OffRL 80 41 0 09 Oct 2019
Toward Synergic Learning for Autonomous Manipulation of Deformable Tissues via Surgical Robots: An Approximate Q-Learning Approach Sahba Aghajani Pedram P. Ferguson Changyeob Shin Ankur M. Mehta E. Dutson Farshid Alambeigi J. Rosen 75 25 0 08 Oct 2019
Advantage-Weighted Regression: Simple and Scalable Off-Policy Reinforcement Learning Xue Bin Peng Aviral Kumar Grace Zhang Sergey Levine OffRL 174 571 0 01 Oct 2019
RLCache: Automated Cache Management Using Reinforcement Learning Sami Alabed 43 4 0 30 Sep 2019
CAQL: Continuous Action Q-Learning Moonkyung Ryu Yinlam Chow Ross Anderson Christian Tjandraatmadja Craig Boutilier 286 43 0 26 Sep 2019
How Much Do Unstated Problem Constraints Limit Deep Robotic Reinforcement Learning? W. Lewis Mark Moll Lydia E. Kavraki OffRL 45 5 0 20 Sep 2019
Deterministic Value-Policy Gradients Qingpeng Cai L. Pan Pingzhong Tang 54 1 0 09 Sep 2019
Spatiotemporally Constrained Action Space Attacks on Deep Reinforcement Learning Agents Xian Yeow Lee Sambit Ghadai Kai Liang Tan Chinmay Hegde Soumik Sarkar AAML 78 53 0 05 Sep 2019
rlpyt: A Research Code Base for Deep Reinforcement Learning in PyTorch Adam Stooke Pieter Abbeel OffRL 77 98 0 03 Sep 2019
A Generalized Algorithm for Multi-Objective Reinforcement Learning and Policy Adaptation Runzhe Yang Xingyuan Sun Karthik Narasimhan 93 259 0 21 Aug 2019
Incremental Reinforcement Learning --- a New Continuous Reinforcement Learning Frame Based on Stochastic Differential Equation methods Tianhao Chen Limei Cheng Yang Liu Wenchuan Jia Shugen Ma 18 4 0 08 Aug 2019
Improving Deep Reinforcement Learning in Minecraft with Action Advice Spencer Frazier Mark O. Riedl 84 29 0 02 Aug 2019
Deep Reinforcement Learning for Personalized Search Story Recommendation Jason Zhang Zhang Junming Yin Dongwon Lee Linhong Zhu 45 2 0 26 Jul 2019
A Review of Robot Learning for Manipulation: Challenges, Representations, and Algorithms Oliver Kroemer S. Niekum George Konidaris 153 369 0 06 Jul 2019
Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model Alex X. Lee Anusha Nagabandi Pieter Abbeel Sergey Levine OffRL BDL 95 383 0 01 Jul 2019
Learning World Graphs to Accelerate Hierarchical Reinforcement Learning Wenling Shang Alexander R. Trott Stephan Zheng Caiming Xiong R. Socher 84 18 0 01 Jul 2019
NeuroTrajectory: A Neuroevolutionary Approach to Local State Trajectory Learning for Autonomous Vehicles Sorin Grigorescu Bogdan Trasnea L. Marina Andrei Vasilcoi Tiberiu T. Cocias 77 39 0 26 Jun 2019
Exploring Model-based Planning with Policy Networks Tingwu Wang Jimmy Ba 117 150 0 20 Jun 2019
When to Trust Your Model: Model-Based Policy Optimization Michael Janner Justin Fu Marvin Zhang Sergey Levine OffRL 129 965 0 19 Jun 2019
Hill Climbing on Value Estimates for Search-control in Dyna Yangchen Pan Hengshuai Yao Amir-massoud Farahmand Martha White 87 18 0 18 Jun 2019
Deep Reinforcement Learning for Industrial Insertion Tasks with Visual Inputs and Natural Rewards Gerrit Schoettler Ashvin Nair Jianlan Luo Shikhar Bahl J. A. Ojea Eugen Solowjow Sergey Levine OffRL 59 193 0 13 Jun 2019
Boosting Soft Actor-Critic: Emphasizing Recent Experience without Forgetting the Past Che Wang George Andriopoulos 51 45 0 10 Jun 2019
Deep Reinforcement Learning with Discrete Normalized Advantage Functions for Resource Management in Network Slicing Chen Qi Yuxiu Hua Rongpeng Li Zhifeng Zhao Honggang Zhang 73 68 0 10 Jun 2019
Watch, Try, Learn: Meta-Learning from Demonstrations and Reward Allan Zhou Eric Jang Daniel Kappler Alexander Herzog Mohi Khansari Paul Wohlhart Yunfei Bai Mrinal Kalakrishnan Sergey Levine Chelsea Finn 87 49 0 07 Jun 2019
Policy Search by Target Distribution Learning for Continuous Control Wei Shen Yuanqi Li Jian Li 60 6 0 27 May 2019
A Kernel Loss for Solving the Bellman Equation Yihao Feng Lihong Li Qiang Liu 80 70 0 25 May 2019
Fast Skill Learning for Variable Compliance Robotic Assembly Tianyu Ren Yunfei Dong Dan Wu Ken Chen 35 2 0 11 May 2019
Curious Meta-Controller: Adaptive Alternation between Model-Based and Model-Free Control in Deep Reinforcement Learning Muhammad Burhan Hafez C. Weber Matthias Kerzel S. Wermter 32 10 0 05 May 2019
Deep Residual Reinforcement Learning Shangtong Zhang Wendelin Bohmer Shimon Whiteson 89 32 0 03 May 2019
Target-Based Temporal Difference Learning Donghwan Lee Niao He OOD 83 32 0 24 Apr 2019
Deep Q-Learning for Nash Equilibria: Nash-DQN P. Casgrain Brian Ning S. Jaimungal 91 36 0 23 Apr 2019
Learning to Navigate in Indoor Environments: from Memorizing to Reasoning Liulong Ma Yanjie Liu Jiao Chen Dong Jin 58 10 0 15 Apr 2019
Combining Physical Simulators and Object-Based Networks for Control Anurag Ajay Maria Bauzá Jiajun Wu Nima Fazeli J. Tenenbaum Alberto Rodriguez L. Kaelbling AI4CE 88 46 0 13 Apr 2019
Personalized Cancer Chemotherapy Schedule: a numerical comparison of performance and robustness in model-based and model-free scheduling methodologies J. Tordesillas Juncal Arbelaiz OffRL 34 3 0 02 Apr 2019
Leveraging Machine Learning and Big Data for Smart Buildings: A Comprehensive Survey Basheer Qolomany Ala I. Al-Fuqaha Ajay K. Gupta D. Benhaddou Safaa Alwajidi Junaid Qadir A. Fong AI4CE 31 2 0 01 Apr 2019
Constructing Parsimonious Analytic Models for Dynamic Systems via Symbolic Regression Erik Derner Jiří Kubalík N. Ancona Robert Babuška 57 9 0 27 Mar 2019
Using RGB Image as Visual Input for Mapless Robot Navigation Liulong Ma Yanjie Liu Jiao Chen SSL 102 17 0 24 Mar 2019
Learning to Paint With Model-based Deep Reinforcement Learning Zhewei Huang Wen Heng Shuchang Zhou GAN 117 156 0 11 Mar 2019
Distributionally Robust Reinforcement Learning E. Smirnova Elvis Dohmatob Jérémie Mary OffRL 68 60 0 23 Feb 2019
Deep Reinforcement Learning using Genetic Algorithm for Parameter Optimization Adarsh Sehgal Hung M. La S. Louis Hai V. Nguyen GP 84 90 0 19 Feb 2019
Learning Accurate Extended-Horizon Predictions of High Dimensional Trajectories B. Gaudet R. Linares R. Furfaro 21 1 0 12 Jan 2019
Deep Reinforcement Learning for Multi-Agent Systems: A Review of Challenges, Solutions and Applications Thanh Thi Nguyen Ngoc Duy Nguyen S. Nahavandi 139 795 0 31 Dec 2018
Derivative-Free Methods for Policy Optimization: Guarantees for Linear Quadratic Systems Dhruv Malik A. Pananjady Kush S. Bhatia K. Khamaru Peter L. Bartlett Martin J. Wainwright 73 201 0 20 Dec 2018
TD-Regularized Actor-Critic Methods Simone Parisi Voot Tangkaratt Jan Peters Mohammad Emtiyaz Khan OffRL 61 31 0 19 Dec 2018
Residual Policy Learning Tom Silver Kelsey R. Allen J. Tenenbaum L. Kaelbling OffRL 103 181 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 99 80 0 12 Dec 2018
Bach2Bach: Generating Music Using A Deep Reinforcement Learning Approach Nikhil Kotecha 80 11 0 03 Dec 2018
An Introduction to Deep Reinforcement Learning Vincent François-Lavet Peter Henderson Riashat Islam Marc G. Bellemare Joelle Pineau OffRL AI4CE 173 1,279 0 30 Nov 2018