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Addressing Function Approximation Error in Actor-Critic Methods
v1v2v3 (latest)

Addressing Function Approximation Error in Actor-Critic Methods

26 February 2018
Scott Fujimoto
H. V. Hoof
David Meger
    OffRL
ArXiv (abs)PDFHTML

Papers citing "Addressing Function Approximation Error in Actor-Critic Methods"

50 / 2,180 papers shown
Title
Advances in Electron Microscopy with Deep Learning
Advances in Electron Microscopy with Deep Learning
Jeffrey M. Ede
99
3
0
04 Jan 2021
Model-Based Visual Planning with Self-Supervised Functional Distances
Model-Based Visual Planning with Self-Supervised Functional Distances
Stephen Tian
Suraj Nair
F. Ebert
Sudeep Dasari
Benjamin Eysenbach
Chelsea Finn
Sergey Levine
SSLOffRL
225
60
0
30 Dec 2020
LISPR: An Options Framework for Policy Reuse with Reinforcement Learning
LISPR: An Options Framework for Policy Reuse with Reinforcement Learning
D. Graves
Jun Jin
Jun Luo
80
2
0
29 Dec 2020
Risk-Sensitive Deep RL: Variance-Constrained Actor-Critic Provably Finds
  Globally Optimal Policy
Risk-Sensitive Deep RL: Variance-Constrained Actor-Critic Provably Finds Globally Optimal Policy
Han Zhong
Xun Deng
Ethan X. Fang
Zhuoran Yang
Zhaoran Wang
Runze Li
54
3
0
28 Dec 2020
POPO: Pessimistic Offline Policy Optimization
POPO: Pessimistic Offline Policy Optimization
Qiang He
Xinwen Hou
OffRL
85
10
0
26 Dec 2020
Auto-Agent-Distiller: Towards Efficient Deep Reinforcement Learning Agents via Neural Architecture Search
Auto-Agent-Distiller: Towards Efficient Deep Reinforcement Learning Agents via Neural Architecture Search
Y. Fu
Zhongzhi Yu
Yongan Zhang
Yingyan Lin
83
4
0
24 Dec 2020
Difference Rewards Policy Gradients
Difference Rewards Policy Gradients
Jacopo Castellini
Sam Devlin
F. Oliehoek
Rahul Savani
41
13
0
21 Dec 2020
Mobile Robot Planner with Low-cost Cameras Using Deep Reinforcement
  Learning
Mobile Robot Planner with Low-cost Cameras Using Deep Reinforcement Learning
M. Tran
N. Ly
20
1
0
21 Dec 2020
Learning Cross-Domain Correspondence for Control with Dynamics
  Cycle-Consistency
Learning Cross-Domain Correspondence for Control with Dynamics Cycle-Consistency
Qiang Zhang
Tete Xiao
Alexei A. Efros
Lerrel Pinto
Xiaolong Wang
88
65
0
17 Dec 2020
Model-free and Bayesian Ensembling Model-based Deep Reinforcement
  Learning for Particle Accelerator Control Demonstrated on the FERMI FEL
Model-free and Bayesian Ensembling Model-based Deep Reinforcement Learning for Particle Accelerator Control Demonstrated on the FERMI FEL
Simon Hirlaender
N. Bruchon
52
23
0
17 Dec 2020
Policy Gradient RL Algorithms as Directed Acyclic Graphs
Policy Gradient RL Algorithms as Directed Acyclic Graphs
J. Luis
61
0
0
14 Dec 2020
Regularizing Action Policies for Smooth Control with Reinforcement
  Learning
Regularizing Action Policies for Smooth Control with Reinforcement Learning
Siddharth Mysore
B. Mabsout
R. Mancuso
Kate Saenko
81
69
0
11 Dec 2020
OPAC: Opportunistic Actor-Critic
OPAC: Opportunistic Actor-Critic
Srinjoy Roy
Saptam Bakshi
Tamal Maharaj
43
2
0
11 Dec 2020
An Efficient Asynchronous Method for Integrating Evolutionary and
  Gradient-based Policy Search
An Efficient Asynchronous Method for Integrating Evolutionary and Gradient-based Policy Search
Kyunghyun Lee
Byeong-uk Lee
Ukcheol Shin
In So Kweon
157
23
0
10 Dec 2020
Efficient Reservoir Management through Deep Reinforcement Learning
Efficient Reservoir Management through Deep Reinforcement Learning
Xinrun Wang
T. Nair
Haoyang Li
Yuh Sheng Reuben Wong
N. Kelkar
S. Vaidyanathan
R. Nayak
Bo An
J. Krishnaswamy
Milind Tambe
AI4CE
26
4
0
07 Dec 2020
RLOC: Terrain-Aware Legged Locomotion using Reinforcement Learning and
  Optimal Control
RLOC: Terrain-Aware Legged Locomotion using Reinforcement Learning and Optimal Control
Siddhant Gangapurwala
Mathieu Geisert
Romeo Orsolino
Maurice F. Fallon
Ioannis Havoutis
160
118
0
05 Dec 2020
Dynamic RAN Slicing for Service-Oriented Vehicular Networks via
  Constrained Learning
Dynamic RAN Slicing for Service-Oriented Vehicular Networks via Constrained Learning
Wen Wu
Nan Chen
Conghao Zhou
Mushu Li
Xuemin Shen
W. Zhuang
Xu Li
164
128
0
03 Dec 2020
Self-correcting Q-Learning
Self-correcting Q-Learning
Rong Zhu
Mattia Rigotti
41
19
0
02 Dec 2020
UniCon: Universal Neural Controller For Physics-based Character Motion
UniCon: Universal Neural Controller For Physics-based Character Motion
Tingwu Wang
Yunrong Guo
Maria Shugrina
Sanja Fidler
80
55
0
30 Nov 2020
Applied Machine Learning for Games: A Graduate School Course
Applied Machine Learning for Games: A Graduate School Course
Yilei Zeng
Aayush Shah
Jameson Thai
M. Zyda
AI4CE
57
3
0
30 Nov 2020
Continuous Transition: Improving Sample Efficiency for Continuous
  Control Problems via MixUp
Continuous Transition: Improving Sample Efficiency for Continuous Control Problems via MixUp
Junfan Lin
Zhongzhan Huang
Keze Wang
Xiaodan Liang
Weiwei Chen
Liang Lin
30
11
0
30 Nov 2020
Offline Reinforcement Learning Hands-On
Offline Reinforcement Learning Hands-On
L. Monier
Jakub Kmec
Alexandre Laterre
Thomas Pierrot
Valentin Courgeau
Olivier Sigaud
Karim Beguir
OffRL
21
9
0
29 Nov 2020
A survey of benchmarking frameworks for reinforcement learning
A survey of benchmarking frameworks for reinforcement learning
B. Stapelberg
K. Malan
OffRL
44
3
0
27 Nov 2020
Reinforcement Learning for Robust Missile Autopilot Design
Reinforcement Learning for Robust Missile Autopilot Design
Bernardo Cortez
18
2
0
26 Nov 2020
Learning to Assist Drone Landings
Learning to Assist Drone Landings
Kal Backman
Dana Kulić
Hoam Chung
86
14
0
26 Nov 2020
C-Learning: Horizon-Aware Cumulative Accessibility Estimation
C-Learning: Horizon-Aware Cumulative Accessibility Estimation
Panteha Naderian
Gabriel Loaiza-Ganem
H. Braviner
Anthony L. Caterini
Jesse C. Cresswell
Tong Li
Animesh Garg
80
1
0
24 Nov 2020
A reinforcement learning control approach for underwater manipulation
  under position and torque constraints
A reinforcement learning control approach for underwater manipulation under position and torque constraints
Ignacio Carlucho
M. D. Paula
G. Acosta
Corina Barbalata
AI4CE
11
8
0
24 Nov 2020
Learning of Long-Horizon Sparse-Reward Robotic Manipulator Tasks with
  Base Controllers
Learning of Long-Horizon Sparse-Reward Robotic Manipulator Tasks with Base Controllers
Guangming Wang
Minjian Xin
Wenhua Wu
Zhe Liu
Hesheng Wang
OffRL
33
19
0
24 Nov 2020
Nested Mixture of Experts: Cooperative and Competitive Learning of
  Hybrid Dynamical System
Nested Mixture of Experts: Cooperative and Competitive Learning of Hybrid Dynamical System
Junhyeok Ahn
Luis Sentis
36
3
0
20 Nov 2020
Weighted Entropy Modification for Soft Actor-Critic
Weighted Entropy Modification for Soft Actor-Critic
Yizhou Zhao
Song-Chun Zhu
35
1
0
18 Nov 2020
A User's Guide to Calibrating Robotics Simulators
A User's Guide to Calibrating Robotics Simulators
Bhairav Mehta
Ankur Handa
Dieter Fox
F. Ramos
55
12
0
17 Nov 2020
Multi-agent Reinforcement Learning Accelerated MCMC on Multiscale
  Inversion Problem
Multi-agent Reinforcement Learning Accelerated MCMC on Multiscale Inversion Problem
Eric T. Chung
Y. Efendiev
W. Leung
Sai-Mang Pun
Zecheng Zhang
46
12
0
17 Nov 2020
C-Learning: Learning to Achieve Goals via Recursive Classification
C-Learning: Learning to Achieve Goals via Recursive Classification
Benjamin Eysenbach
Ruslan Salakhutdinov
Sergey Levine
OffRL
85
71
0
17 Nov 2020
Reachability-based Trajectory Safeguard (RTS): A Safe and Fast
  Reinforcement Learning Safety Layer for Continuous Control
Reachability-based Trajectory Safeguard (RTS): A Safe and Fast Reinforcement Learning Safety Layer for Continuous Control
Y. Shao
Chao Chen
Shreyas Kousik
Ram Vasudevan
70
61
0
17 Nov 2020
Multi-Step Recurrent Q-Learning for Robotic Velcro Peeling
Multi-Step Recurrent Q-Learning for Robotic Velcro Peeling
Jiachen Yuan
Nicolai Häni
Volkan Isler
68
6
0
16 Nov 2020
Scalable Reinforcement Learning Policies for Multi-Agent Control
Scalable Reinforcement Learning Policies for Multi-Agent Control
Christopher D. Hsu
Heejin Jeong
George J. Pappas
Pratik Chaudhari
68
35
0
16 Nov 2020
Tonic: A Deep Reinforcement Learning Library for Fast Prototyping and
  Benchmarking
Tonic: A Deep Reinforcement Learning Library for Fast Prototyping and Benchmarking
Fabio Pardo
OffRL
60
31
0
15 Nov 2020
PLAS: Latent Action Space for Offline Reinforcement Learning
PLAS: Latent Action Space for Offline Reinforcement Learning
Wenxuan Zhou
Sujay Bajracharya
David Held
OffRL
89
160
0
14 Nov 2020
Reinforcement Learning Control of a Biomechanical Model of the Upper
  Extremity
Reinforcement Learning Control of a Biomechanical Model of the Upper Extremity
F. Fischer
Miroslav Bachinski
Markus Klar
A. Fleig
Jorg Muller
46
46
0
13 Nov 2020
Robust Quadruped Jumping via Deep Reinforcement Learning
Robust Quadruped Jumping via Deep Reinforcement Learning
Guillaume Bellegarda
Chuong H. Nguyen
Quan Nguyen
86
65
0
13 Nov 2020
Reinforcement Learning Control of Constrained Dynamic Systems with
  Uniformly Ultimate Boundedness Stability Guarantee
Reinforcement Learning Control of Constrained Dynamic Systems with Uniformly Ultimate Boundedness Stability Guarantee
Minghao Han
Yuan Tian
Lixian Zhang
Jun Wang
Wei Pan
68
49
0
13 Nov 2020
Robust Policies via Mid-Level Visual Representations: An Experimental
  Study in Manipulation and Navigation
Robust Policies via Mid-Level Visual Representations: An Experimental Study in Manipulation and Navigation
B. Chen
Alexander Sax
Gene Lewis
Iro Armeni
Silvio Savarese
Amir Zamir
Jitendra Malik
Lerrel Pinto
75
44
0
13 Nov 2020
Steady State Analysis of Episodic Reinforcement Learning
Steady State Analysis of Episodic Reinforcement Learning
Bojun Huang
OffRL
50
23
0
12 Nov 2020
Reinforcement Learning Experiments and Benchmark for Solving Robotic
  Reaching Tasks
Reinforcement Learning Experiments and Benchmark for Solving Robotic Reaching Tasks
Pierre Aumjaud
David McAuliffe
Francisco J. Rodríguez-Lera
P. Cardiff
61
15
0
11 Nov 2020
Personality-Driven Gaze Animation with Conditional Generative
  Adversarial Networks
Personality-Driven Gaze Animation with Conditional Generative Adversarial Networks
Funda Durupinar
CVBMGAN
35
2
0
11 Nov 2020
Learning World Transition Model for Socially Aware Robot Navigation
Learning World Transition Model for Socially Aware Robot Navigation
Yuxiang Cui
Haodong Zhang
Yue Wang
R. Xiong
73
17
0
08 Nov 2020
Single and Multi-Agent Deep Reinforcement Learning for AI-Enabled
  Wireless Networks: A Tutorial
Single and Multi-Agent Deep Reinforcement Learning for AI-Enabled Wireless Networks: A Tutorial
Amal Feriani
Ekram Hossain
211
245
0
06 Nov 2020
Sample-efficient Reinforcement Learning in Robotic Table Tennis
Sample-efficient Reinforcement Learning in Robotic Table Tennis
Jonas Tebbe
Lukas Krauch
Yapeng Gao
A. Zell
74
34
0
06 Nov 2020
RealAnt: An Open-Source Low-Cost Quadruped for Education and Research in
  Real-World Reinforcement Learning
RealAnt: An Open-Source Low-Cost Quadruped for Education and Research in Real-World Reinforcement Learning
Rinu Boney
Jussi Sainio
M. Kaivola
Arno Solin
Arno Solin
55
5
0
05 Nov 2020
Playing optical tweezers with deep reinforcement learning: in virtual,
  physical and augmented environments
Playing optical tweezers with deep reinforcement learning: in virtual, physical and augmented environments
M. Praeger
Yunhui Xie
J. Grant-Jacob
R. Eason
B. Mills
62
12
0
05 Nov 2020
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