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Continuous Deep Q-Learning with Model-based Acceleration

Continuous Deep Q-Learning with Model-based Acceleration

2 March 2016
S. Gu
Timothy Lillicrap
Ilya Sutskever
Sergey Levine
ArXivPDFHTML

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

50 / 185 papers shown
Title
Runtime Safety Assurance for Learning-enabled Control of Autonomous
  Driving Vehicles
Runtime Safety Assurance for Learning-enabled Control of Autonomous Driving Vehicles
Shengduo Chen
Yao Sun
Dachuan Li
Qiang Wang
Qi Hao
J. Sifakis
57
15
0
28 Sep 2021
Implicitly Regularized RL with Implicit Q-Values
Implicitly Regularized RL with Implicit Q-Values
Nino Vieillard
Marcin Andrychowicz
Anton Raichuk
Olivier Pietquin
M. Geist
OffRL
24
9
0
16 Aug 2021
Greedification Operators for Policy Optimization: Investigating Forward
  and Reverse KL Divergences
Greedification Operators for Policy Optimization: Investigating Forward and Reverse KL Divergences
Alan Chan
Hugo Silva
Sungsu Lim
Tadashi Kozuno
A. R. Mahmood
Martha White
25
29
0
17 Jul 2021
Species Distribution Modeling for Machine Learning Practitioners: A
  Review
Species Distribution Modeling for Machine Learning Practitioners: A Review
Sara Beery
Elijah Cole
Joseph Parker
Pietro Perona
Kevin Winner
28
69
0
03 Jul 2021
Applications of the Free Energy Principle to Machine Learning and
  Neuroscience
Applications of the Free Energy Principle to Machine Learning and Neuroscience
Beren Millidge
DRL
28
7
0
30 Jun 2021
Learning to drive from a world on rails
Learning to drive from a world on rails
Di Chen
V. Koltun
Philipp Krahenbuhl
98
116
0
03 May 2021
Model-aided Deep Reinforcement Learning for Sample-efficient UAV
  Trajectory Design in IoT Networks
Model-aided Deep Reinforcement Learning for Sample-efficient UAV Trajectory Design in IoT Networks
Omid Esrafilian
Harald Bayerlein
David Gesbert
27
6
0
21 Apr 2021
MBRL-Lib: A Modular Library for Model-based Reinforcement Learning
MBRL-Lib: A Modular Library for Model-based Reinforcement Learning
Luis Pineda
Brandon Amos
Amy Zhang
Nathan Lambert
Roberto Calandra
OffRL
33
46
0
20 Apr 2021
Hybrid Policy Learning for Energy-Latency Tradeoff in MEC-Assisted VR
  Video Service
Hybrid Policy Learning for Energy-Latency Tradeoff in MEC-Assisted VR Video Service
Chong Zheng
Shengheng Liu
Yongming Huang
Luxi Yang
EgoV
19
31
0
02 Apr 2021
Learning Reactive and Predictive Differentiable Controllers for
  Switching Linear Dynamical Models
Learning Reactive and Predictive Differentiable Controllers for Switching Linear Dynamical Models
Saumya Saxena
A. LaGrassa
Oliver Kroemer
39
4
0
26 Mar 2021
Deep Reinforcement Learning for Mapless Navigation of a Hybrid Aerial
  Underwater Vehicle with Medium Transition
Deep Reinforcement Learning for Mapless Navigation of a Hybrid Aerial Underwater Vehicle with Medium Transition
Ricardo B. Grando
J. C. Jesus
V. A. Kich
A. H. Kolling
Nicolas P. Bortoluzzi
P. Pinheiro
A. A. Neto
Paulo L. J. Drews-Jr
27
39
0
23 Mar 2021
Maximum Entropy RL (Provably) Solves Some Robust RL Problems
Maximum Entropy RL (Provably) Solves Some Robust RL Problems
Benjamin Eysenbach
Sergey Levine
OOD
50
176
0
10 Mar 2021
How to Train Your Robot with Deep Reinforcement Learning; Lessons We've
  Learned
How to Train Your Robot with Deep Reinforcement Learning; Lessons We've Learned
Julian Ibarz
Jie Tan
Chelsea Finn
Mrinal Kalakrishnan
P. Pastor
Sergey Levine
OffRL
16
520
0
04 Feb 2021
Tutoring Reinforcement Learning via Feedback Control
Tutoring Reinforcement Learning via Feedback Control
F. D. Lellis
G. Russo
M. D. Bernardo
19
6
0
12 Dec 2020
Critic PI2: Master Continuous Planning via Policy Improvement with Path
  Integrals and Deep Actor-Critic Reinforcement Learning
Critic PI2: Master Continuous Planning via Policy Improvement with Path Integrals and Deep Actor-Critic Reinforcement Learning
Jiajun Fan
He Ba
Xian Guo
Jianye Hao
OffRL
21
5
0
13 Nov 2020
Proximal Policy Optimization via Enhanced Exploration Efficiency
Proximal Policy Optimization via Enhanced Exploration Efficiency
Junwei Zhang
Zhenghao Zhang
Shuai Han
Shuai Lu
34
41
0
11 Nov 2020
Model-based Reinforcement Learning from Signal Temporal Logic
  Specifications
Model-based Reinforcement Learning from Signal Temporal Logic Specifications
Parv Kapoor
Anand Balakrishnan
Jyotirmoy V. Deshmukh
29
22
0
10 Nov 2020
Softmax Deep Double Deterministic Policy Gradients
Softmax Deep Double Deterministic Policy Gradients
Ling Pan
Qingpeng Cai
Longbo Huang
72
86
0
19 Oct 2020
FORK: A Forward-Looking Actor For Model-Free Reinforcement Learning
FORK: A Forward-Looking Actor For Model-Free Reinforcement Learning
Honghao Wei
Lei Ying
25
7
0
04 Oct 2020
Modular Transfer Learning with Transition Mismatch Compensation for
  Excessive Disturbance Rejection
Modular Transfer Learning with Transition Mismatch Compensation for Excessive Disturbance Rejection
Tianming Wang
Wenjie Lu
H. Yu
Dikai Liu
41
1
0
29 Jul 2020
Trade-off on Sim2Real Learning: Real-world Learning Faster than
  Simulations
Trade-off on Sim2Real Learning: Real-world Learning Faster than Simulations
Jingyi Huang
Yizheng Zhang
F. Giardina
A. Rosendo
OffRL
22
1
0
21 Jul 2020
Control as Hybrid Inference
Control as Hybrid Inference
Alexander Tschantz
Beren Millidge
A. Seth
Christopher L. Buckley
19
9
0
11 Jul 2020
Responsive Safety in Reinforcement Learning by PID Lagrangian Methods
Responsive Safety in Reinforcement Learning by PID Lagrangian Methods
Adam Stooke
Joshua Achiam
Pieter Abbeel
31
287
0
08 Jul 2020
Automating Turbulence Modeling by Multi-Agent Reinforcement Learning
Automating Turbulence Modeling by Multi-Agent Reinforcement Learning
G. Novati
Hugues Lascombes de Laroussilhe
Petros Koumoutsakos
AI4CE
34
15
0
18 May 2020
Context-aware Dynamics Model for Generalization in Model-Based
  Reinforcement Learning
Context-aware Dynamics Model for Generalization in Model-Based Reinforcement Learning
Kimin Lee
Younggyo Seo
Seunghyun Lee
Honglak Lee
Jinwoo Shin
45
125
0
14 May 2020
Robotic Arm Control and Task Training through Deep Reinforcement
  Learning
Robotic Arm Control and Task Training through Deep Reinforcement Learning
Andrea Franceschetti
E. Tosello
Nicola Castaman
Stefano Ghidoni
15
32
0
06 May 2020
Action Space Shaping in Deep Reinforcement Learning
Action Space Shaping in Deep Reinforcement Learning
Anssi Kanervisto
Christian Scheller
Ville Hautamaki
27
80
0
02 Apr 2020
When Autonomous Systems Meet Accuracy and Transferability through AI: A
  Survey
When Autonomous Systems Meet Accuracy and Transferability through AI: A Survey
Chongzhen Zhang
Jianrui Wang
Gary G. Yen
Chaoqiang Zhao
Qiyu Sun
Yang Tang
Feng Qian
Jürgen Kurths
AAML
35
20
0
29 Mar 2020
Comprehensive Review of Deep Reinforcement Learning Methods and
  Applications in Economics
Comprehensive Review of Deep Reinforcement Learning Methods and Applications in Economics
Amir H. Mosavi
Pedram Ghamisi
Yaser Faghan
Puhong Duan
OffRL
27
152
0
21 Mar 2020
Robust Deep Reinforcement Learning against Adversarial Perturbations on
  State Observations
Robust Deep Reinforcement Learning against Adversarial Perturbations on State Observations
Huan Zhang
Hongge Chen
Chaowei Xiao
Bo Li
Mingyan D. Liu
Duane S. Boning
Cho-Jui Hsieh
AAML
49
261
0
19 Mar 2020
Smart Train Operation Algorithms based on Expert Knowledge and
  Reinforcement Learning
Smart Train Operation Algorithms based on Expert Knowledge and Reinforcement Learning
Kaichen Zhou
Shiji Song
Anke Xue
Keyou You
Hui Wu
OffRL
49
41
0
06 Mar 2020
Balance Between Efficient and Effective Learning: Dense2Sparse Reward
  Shaping for Robot Manipulation with Environment Uncertainty
Balance Between Efficient and Effective Learning: Dense2Sparse Reward Shaping for Robot Manipulation with Environment Uncertainty
Yongle Luo
Kun Dong
Lili Zhao
Zhiyong Sun
Chao Zhou
Bo Song
34
13
0
05 Mar 2020
An Efficient Transfer Learning Framework for Multiagent Reinforcement
  Learning
An Efficient Transfer Learning Framework for Multiagent Reinforcement Learning
Tianpei Yang
Weixun Wang
Hongyao Tang
Jianye Hao
Zhaopeng Meng
...
Wulong Liu
Chen Zhang
Yujing Hu
Yingfeng Chen
Changjie Fan
26
22
0
19 Feb 2020
Project CLAI: Instrumenting the Command Line as a New Environment for AI
  Agents
Project CLAI: Instrumenting the Command Line as a New Environment for AI Agents
Mayank Agarwal
Jorge J. Barroso
Tathagata Chakraborti
Eli M. Dow
Kshitij P. Fadnis
Borja Godoy
Madhavan Pallan
Kartik Talamadupula
21
8
0
31 Jan 2020
Q-Learning in enormous action spaces via amortized approximate
  maximization
Q-Learning in enormous action spaces via amortized approximate maximization
T. Wiele
David Warde-Farley
A. Mnih
Volodymyr Mnih
29
60
0
22 Jan 2020
Learning Stable Deep Dynamics Models
Learning Stable Deep Dynamics Models
Gaurav Manek
J. Zico Kolter
35
191
0
17 Jan 2020
Perception and Navigation in Autonomous Systems in the Era of Learning:
  A Survey
Perception and Navigation in Autonomous Systems in the Era of Learning: A Survey
Yang Tang
Chaoqiang Zhao
Jianrui Wang
Chongzhen Zhang
Qiyu Sun
Weixing Zheng
W. Du
Feng Qian
Jürgen Kurths
18
65
0
08 Jan 2020
A Survey of Deep Learning Applications to Autonomous Vehicle Control
A Survey of Deep Learning Applications to Autonomous Vehicle Control
Sampo Kuutti
Richard Bowden
Yaochu Jin
P. Barber
Saber Fallah
36
507
0
23 Dec 2019
Direct and indirect reinforcement learning
Direct and indirect reinforcement learning
Yang Guan
Shengbo Eben Li
Jingliang Duan
Jie Li
Yangang Ren
Qi Sun
B. Cheng
OffRL
38
34
0
23 Dec 2019
Combining Q-Learning and Search with Amortized Value Estimates
Combining Q-Learning and Search with Amortized Value Estimates
Jessica B. Hamrick
V. Bapst
Alvaro Sanchez-Gonzalez
Tobias Pfaff
T. Weber
Lars Buesing
Peter W. Battaglia
OffRL
27
47
0
05 Dec 2019
Quadratic Q-network for Learning Continuous Control for Autonomous
  Vehicles
Quadratic Q-network for Learning Continuous Control for Autonomous Vehicles
Pin Wang
Hanhan Li
Ching-yao Chan
25
12
0
29 Nov 2019
Multi-Vehicle Mixed-Reality Reinforcement Learning for Autonomous
  Multi-Lane Driving
Multi-Vehicle Mixed-Reality Reinforcement Learning for Autonomous Multi-Lane Driving
Rupert Mitchell
Jenny Fletcher
Jacopo Panerati
Amanda Prorok
32
17
0
26 Nov 2019
Real-Time Reinforcement Learning
Real-Time Reinforcement Learning
Simon Ramstedt
C. Pal
AI4CE
19
62
0
11 Nov 2019
Deep Decentralized Reinforcement Learning for Cooperative Control
Deep Decentralized Reinforcement Learning for Cooperative Control
Florian Köpf
Samuel Tesfazgi
M. Flad
Sören Hohmann
26
2
0
29 Oct 2019
Case Study: Verifying the Safety of an Autonomous Racing Car with a
  Neural Network Controller
Case Study: Verifying the Safety of an Autonomous Racing Car with a Neural Network Controller
Radoslav Ivanov
Taylor J. Carpenter
James Weimer
Rajeev Alur
George J. Pappas
Insup Lee
23
79
0
24 Oct 2019
Contextual Imagined Goals for Self-Supervised Robotic Learning
Contextual Imagined Goals for Self-Supervised Robotic Learning
Ashvin Nair
Shikhar Bahl
Alexander Khazatsky
Vitchyr H. Pong
Glen Berseth
Sergey Levine
SSL
35
68
0
23 Oct 2019
Imagined Value Gradients: Model-Based Policy Optimization with
  Transferable Latent Dynamics Models
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
17
41
0
09 Oct 2019
Toward Synergic Learning for Autonomous Manipulation of Deformable
  Tissues via Surgical Robots: An Approximate Q-Learning Approach
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
12
25
0
08 Oct 2019
Advantage-Weighted Regression: Simple and Scalable Off-Policy
  Reinforcement Learning
Advantage-Weighted Regression: Simple and Scalable Off-Policy Reinforcement Learning
Xue Bin Peng
Aviral Kumar
Grace Zhang
Sergey Levine
OffRL
22
541
0
01 Oct 2019
Deterministic Value-Policy Gradients
Deterministic Value-Policy Gradients
Qingpeng Cai
L. Pan
Pingzhong Tang
29
1
0
09 Sep 2019
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