Continuous control with deep reinforcement learning

9 September 2015

Alexander Pritzel

David Silver

Papers citing "Continuous control with deep reinforcement learning"

50 / 3,248 papers shown

Title
Certified Reinforcement Learning with Logic Guidance Mohammadhosein Hasanbeig Daniel Kroening Alessandro Abate 24 53 0 02 Feb 2019
TF-Replicator: Distributed Machine Learning for Researchers P. Buchlovsky David Budden Dominik Grewe Chris Jones John Aslanides ... Aidan Clark Sergio Gomez Colmenarejo Aedan Pope Fabio Viola Dan Belov GNN OffRL AI4CE 37 20 0 01 Feb 2019
Tsallis Reinforcement Learning: A Unified Framework for Maximum Entropy Reinforcement Learning Kyungjae Lee Sungyub Kim Sungbin Lim Sungjoon Choi Songhwai Oh 19 28 0 31 Jan 2019
Go-Explore: a New Approach for Hard-Exploration Problems Adrien Ecoffet Joost Huizinga Joel Lehman Kenneth O. Stanley Jeff Clune AI4TS 24 363 0 30 Jan 2019
Privacy-preserving Q-Learning with Functional Noise in Continuous State Spaces Baoxiang Wang N. Hegde 17 64 0 30 Jan 2019
Discretizing Continuous Action Space for On-Policy Optimization Yunhao Tang Shipra Agrawal OffRL 26 118 0 29 Jan 2019
Lyapunov-based Safe Policy Optimization for Continuous Control Yinlam Chow Ofir Nachum Aleksandra Faust Edgar A. Duénez-Guzmán Mohammad Ghavamzadeh 33 244 0 28 Jan 2019
Designing a Multi-Objective Reward Function for Creating Teams of Robotic Bodyguards Using Deep Reinforcement Learning Hassam Sheikh Ladislau Bölöni 15 3 0 28 Jan 2019
Modelling Bounded Rationality in Multi-Agent Interactions by Generalized Recursive Reasoning Ying Wen Yaodong Yang Rui Luo Jun Wang LRM 32 52 0 26 Jan 2019
Action Robust Reinforcement Learning and Applications in Continuous Control Chen Tessler Yonathan Efroni Shie Mannor 30 230 0 26 Jan 2019
Ablation Studies in Artificial Neural Networks Richard Meyes Melanie Lu Constantin Waubert de Puiseau Tobias Meisen 16 210 0 24 Jan 2019
Trust Region Value Optimization using Kalman Filtering Shirli Di-Castro Shashua Shie Mannor 19 7 0 23 Jan 2019
Neuroflight: Next Generation Flight Control Firmware W. Koch R. Mancuso Azer Bestavros 33 29 0 19 Jan 2019
On-Policy Trust Region Policy Optimisation with Replay Buffers D. Kangin N. Pugeault OffRL 14 3 0 18 Jan 2019
Energy-Efficient Thermal Comfort Control in Smart Buildings via Deep Reinforcement Learning Guanyu Gao Jie Li Yonggang Wen AI4CE 22 68 0 15 Jan 2019
A Deep Recurrent Q Network towards Self-adapting Distributed Microservices architecture Basel Magableh 29 15 0 13 Jan 2019
Improving Coordination in Small-Scale Multi-Agent Deep Reinforcement Learning through Memory-driven Communication E. Pesce Giovanni Montana 17 72 0 12 Jan 2019
Model-Predictive Policy Learning with Uncertainty Regularization for Driving in Dense Traffic Mikael Henaff A. Canziani Yann LeCun OOD 28 122 0 08 Jan 2019
Imminent Collision Mitigation with Reinforcement Learning and Vision Horia Porav Paul Newman 22 18 0 03 Jan 2019
Human-Like Autonomous Car-Following Model with Deep Reinforcement Learning Meixin Zhu X. Wang Yinhai Wang 19 403 0 03 Jan 2019
A Theoretical Analysis of Deep Q-Learning Jianqing Fan Zhuoran Yang Yuchen Xie Zhaoran Wang 28 596 0 01 Jan 2019
Deep Reinforcement Learning for Multi-Agent Systems: A Review of Challenges, Solutions and Applications Thanh Thi Nguyen Ngoc Duy Nguyen S. Nahavandi 27 775 0 31 Dec 2018
Learning to Walk via Deep Reinforcement Learning Tuomas Haarnoja Sehoon Ha Aurick Zhou Jie Tan George Tucker Sergey Levine 54 433 0 26 Dec 2018
TD-Regularized Actor-Critic Methods Simone Parisi Voot Tangkaratt Jan Peters Mohammad Emtiyaz Khan OffRL 30 32 0 19 Dec 2018
Sim-to-Real via Sim-to-Sim: Data-efficient Robotic Grasping via Randomized-to-Canonical Adaptation Networks Stephen James Paul Wohlhart Mrinal Kalakrishnan Dmitry Kalashnikov A. Irpan Julian Ibarz Sergey Levine R. Hadsell Konstantinos Bousmalis 46 444 0 18 Dec 2018
Decentralized Computation Offloading for Multi-User Mobile Edge Computing: A Deep Reinforcement Learning Approach Zhao Chen Xiaodong Wang 19 153 0 16 Dec 2018
Residual Policy Learning Tom Silver Kelsey R. Allen J. Tenenbaum L. Kaelbling OffRL 26 173 0 15 Dec 2018
Model-free Training of End-to-end Communication Systems Fayçal Ait Aoudia J. Hoydis 31 189 0 14 Dec 2018
Ablation of a Robot's Brain: Neural Networks Under a Knife Peter Lillian Richard Meyes Tobias Meisen 30 10 0 13 Dec 2018
Learning to Communicate: A Machine Learning Framework for Heterogeneous Multi-Agent Robotic Systems Hyung-Jin Yoon Huaiyu Chen Kehan Long Heling Zhang Aditya Gahlawat Donghwan Lee N. Hovakimyan 29 6 0 13 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 30 80 0 12 Dec 2018
Communication-Efficient Policy Gradient Methods for Distributed Reinforcement Learning Tianyi Chen Kaipeng Zhang G. Giannakis Tamer Basar OffRL 29 41 0 07 Dec 2018
Zero-shot Deep Reinforcement Learning Driving Policy Transfer for Autonomous Vehicles based on Robust Control Zhuo Xu Chen Tang Masayoshi Tomizuka OffRL 27 35 0 07 Dec 2018
Residual Reinforcement Learning for Robot Control T. Johannink Shikhar Bahl Ashvin Nair Jianlan Luo Avinash Kumar M. Loskyll J. A. Ojea Eugen Solowjow Sergey Levine OffRL 30 409 0 07 Dec 2018
Relative Entropy Regularized Policy Iteration A. Abdolmaleki Jost Tobias Springenberg Jonas Degrave Steven Bohez Yuval Tassa Dan Belov N. Heess Martin Riedmiller 27 72 0 05 Dec 2018
Learning to Design Circuits Hanrui Wang Jiacheng Yang Hae-Seung Lee Song Han 30 92 0 05 Dec 2018
Bach2Bach: Generating Music Using A Deep Reinforcement Learning Approach Nikhil Kotecha 14 11 0 03 Dec 2018
Multi-agent Deep Reinforcement Learning with Extremely Noisy Observations Ozsel Kilinc Giovanni Montana 23 26 0 03 Dec 2018
Deep Reinforcement Learning for Time Optimal Velocity Control using Prior Knowledge G. Hartmann Z. Shiller A. Azaria 23 24 0 28 Nov 2018
Hardware Conditioned Policies for Multi-Robot Transfer Learning Tao Chen Adithyavairavan Murali Abhinav Gupta 21 102 0 24 Nov 2018
HAQ: Hardware-Aware Automated Quantization with Mixed Precision Kuan-Chieh Jackson Wang Zhijian Liu Chengyue Wu Ji Lin Song Han MQ 71 872 0 21 Nov 2018
Urban Driving with Multi-Objective Deep Reinforcement Learning Changjian Li Krzysztof Czarnecki 15 72 0 21 Nov 2018
Scalable agent alignment via reward modeling: a research direction Jan Leike David M. Krueger Tom Everitt Miljan Martic Vishal Maini Shane Legg 34 397 0 19 Nov 2018
Simulated Autonomous Driving in a Realistic Driving Environment using Deep Reinforcement Learning and a Deterministic Finite State Machine Patrick Klose Rudolf Mester AI4CE 27 10 0 19 Nov 2018
Learning Actionable Representations with Goal-Conditioned Policies Dibya Ghosh Abhishek Gupta Sergey Levine 32 109 0 19 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 20 11 0 18 Nov 2018
Reward-estimation variance elimination in sequential decision processes S. Pankov 11 5 0 15 Nov 2018
An initial attempt of combining visual selective attention with deep reinforcement learning Liu Yuezhang Ruohan Zhang D. Ballard 26 20 0 11 Nov 2018
A Convergence Theory for Deep Learning via Over-Parameterization Zeyuan Allen-Zhu Yuanzhi Li Zhao Song AI4CE ODL 72 1,448 0 09 Nov 2018
Sample-Efficient Policy Learning based on Completely Behavior Cloning Qiming Zou Ling Wang K. Lu Yu Li OffRL 25 0 0 09 Nov 2018