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Action Robust Reinforcement Learning and Applications in Continuous
  Control

Action Robust Reinforcement Learning and Applications in Continuous Control

26 January 2019
Chen Tessler
Yonathan Efroni
Shie Mannor
ArXivPDFHTML

Papers citing "Action Robust Reinforcement Learning and Applications in Continuous Control"

50 / 134 papers shown
Title
Robust Deterministic Policy Gradient for Disturbance Attenuation and Its Application to Quadrotor Control
Robust Deterministic Policy Gradient for Disturbance Attenuation and Its Application to Quadrotor Control
T. Lee
Donghwan Lee
35
0
0
28 Feb 2025
Robust Gymnasium: A Unified Modular Benchmark for Robust Reinforcement Learning
Robust Gymnasium: A Unified Modular Benchmark for Robust Reinforcement Learning
Shangding Gu
Laixi Shi
Muning Wen
Ming Jin
Eric Mazumdar
Yuejie Chi
Adam Wierman
C. Spanos
OOD
OffRL
36
1
0
27 Feb 2025
Stability Analysis of Deep Reinforcement Learning for Multi-Agent Inspection in a Terrestrial Testbed
Henry Lei
Zachary S. Lippay
Anonto Zaman
Joshua Aurand
Amin Maghareh
S. Phillips
34
2
0
26 Feb 2025
Efficiently Solving Discounted MDPs with Predictions on Transition Matrices
Efficiently Solving Discounted MDPs with Predictions on Transition Matrices
Lixing Lyu
Jiashuo Jiang
Wang Chi Cheung
42
1
0
24 Feb 2025
Provably Efficient Action-Manipulation Attack Against Continuous
  Reinforcement Learning
Provably Efficient Action-Manipulation Attack Against Continuous Reinforcement Learning
Zhi Luo
Xiaoyu Yang
Pan Zhou
D. Wang
AAML
74
0
0
20 Nov 2024
Constrained Optimal Fuel Consumption of HEV:Considering the
  Observational Perturbation
Constrained Optimal Fuel Consumption of HEV:Considering the Observational Perturbation
Shuchang Yan
Haoran Sun
31
0
0
28 Oct 2024
Survival of the Fittest: Evolutionary Adaptation of Policies for
  Environmental Shifts
Survival of the Fittest: Evolutionary Adaptation of Policies for Environmental Shifts
Sheryl Paul
Jyotirmoy V. Deshmukh
29
0
0
22 Oct 2024
Benchmarking Deep Reinforcement Learning for Navigation in Denied Sensor
  Environments
Benchmarking Deep Reinforcement Learning for Navigation in Denied Sensor Environments
Mariusz Wisniewski
Paraskevas Chatzithanos
Weisi Guo
Antonios Tsourdos
30
2
0
18 Oct 2024
Solving robust MDPs as a sequence of static RL problems
Solving robust MDPs as a sequence of static RL problems
Adil Zouitine
Matthieu Geist
Emmanuel Rachelson
31
0
0
08 Oct 2024
Domains as Objectives: Domain-Uncertainty-Aware Policy Optimization
  through Explicit Multi-Domain Convex Coverage Set Learning
Domains as Objectives: Domain-Uncertainty-Aware Policy Optimization through Explicit Multi-Domain Convex Coverage Set Learning
Wendyam Eric Lionel Ilboudo
Taisuke Kobayashi
Takamitsu Matsubara
27
0
0
07 Oct 2024
LiRA: Light-Robust Adversary for Model-based Reinforcement Learning in Real World
LiRA: Light-Robust Adversary for Model-based Reinforcement Learning in Real World
Taisuke Kobayashi
71
2
0
29 Sep 2024
Reward-Robust RLHF in LLMs
Reward-Robust RLHF in LLMs
Yuzi Yan
Xingzhou Lou
Jialian Li
Yiping Zhang
Jian Xie
Chao Yu
Yu Wang
Dong Yan
Yuan Shen
45
8
0
18 Sep 2024
Decentralized and Asymmetric Multi-Agent Learning in Construction Sites
Decentralized and Asymmetric Multi-Agent Learning in Construction Sites
Yakov Miron
Dan Navon
Yuval Goldfracht
Dotan Di Castro
Itzik Klein
35
0
0
16 Sep 2024
RRLS : Robust Reinforcement Learning Suite
RRLS : Robust Reinforcement Learning Suite
Adil Zouitine
David Bertoin
Pierre Clavier
Matthieu Geist
Emmanuel Rachelson
OffRL
32
1
0
12 Jun 2024
Time-Constrained Robust MDPs
Time-Constrained Robust MDPs
Adil Zouitine
David Bertoin
Pierre Clavier
Matthieu Geist
Emmanuel Rachelson
OOD
34
0
0
12 Jun 2024
Bootstrapping Expectiles in Reinforcement Learning
Bootstrapping Expectiles in Reinforcement Learning
Pierre Clavier
Emmanuel Rachelson
E. L. Pennec
Matthieu Geist
OffRL
40
0
0
06 Jun 2024
Robust Deep Reinforcement Learning with Adaptive Adversarial
  Perturbations in Action Space
Robust Deep Reinforcement Learning with Adaptive Adversarial Perturbations in Action Space
Qian Liu
Yufei Kuang
Jie Wang
AAML
19
2
0
20 May 2024
Safe Exploration Using Bayesian World Models and Log-Barrier
  Optimization
Safe Exploration Using Bayesian World Models and Log-Barrier Optimization
Yarden As
Bhavya Sukhija
Andreas Krause
OffRL
32
2
0
09 May 2024
Zero-Sum Positional Differential Games as a Framework for Robust
  Reinforcement Learning: Deep Q-Learning Approach
Zero-Sum Positional Differential Games as a Framework for Robust Reinforcement Learning: Deep Q-Learning Approach
Anton Plaksin
Vitaly Kalev
21
0
0
03 May 2024
Explicit Lipschitz Value Estimation Enhances Policy Robustness Against
  Perturbation
Explicit Lipschitz Value Estimation Enhances Policy Robustness Against Perturbation
Xulin Chen
Ruipeng Liu
Garret E. Katz
42
0
0
22 Apr 2024
Autonomous vehicle decision and control through reinforcement learning
  with traffic flow randomization
Autonomous vehicle decision and control through reinforcement learning with traffic flow randomization
Yuan Lin
Antai Xie
Xiao Liu
49
1
0
05 Mar 2024
ZSL-RPPO: Zero-Shot Learning for Quadrupedal Locomotion in Challenging
  Terrains using Recurrent Proximal Policy Optimization
ZSL-RPPO: Zero-Shot Learning for Quadrupedal Locomotion in Challenging Terrains using Recurrent Proximal Policy Optimization
Yao Zhao
Tao Wu
Yijie Zhu
Xiang Lu
Jun Wang
Haitham Bou-Ammar
Xinyu Zhang
Peng Du
35
3
0
04 Mar 2024
Beyond Worst-case Attacks: Robust RL with Adaptive Defense via
  Non-dominated Policies
Beyond Worst-case Attacks: Robust RL with Adaptive Defense via Non-dominated Policies
Xiangyu Liu
Chenghao Deng
Yanchao Sun
Yongyuan Liang
Furong Huang
AAML
35
4
0
20 Feb 2024
Understanding What Affects Generalization Gap in Visual Reinforcement
  Learning: Theory and Empirical Evidence
Understanding What Affects Generalization Gap in Visual Reinforcement Learning: Theory and Empirical Evidence
Jiafei Lyu
Le Wan
Xiu Li
Zongqing Lu
CML
OffRL
38
4
0
05 Feb 2024
Closing the Gap between TD Learning and Supervised Learning -- A
  Generalisation Point of View
Closing the Gap between TD Learning and Supervised Learning -- A Generalisation Point of View
Raj Ghugare
Matthieu Geist
Glen Berseth
Benjamin Eysenbach
OffRL
32
14
0
20 Jan 2024
A Conservative Approach for Few-Shot Transfer in Off-Dynamics
  Reinforcement Learning
A Conservative Approach for Few-Shot Transfer in Off-Dynamics Reinforcement Learning
Paul Daoudi
Christophe Prieur
Bogdan Robu
M. Barlier
Ludovic Dos Santos
OffRL
25
0
0
24 Dec 2023
Solving Long-run Average Reward Robust MDPs via Stochastic Games
Solving Long-run Average Reward Robust MDPs via Stochastic Games
Krishnendu Chatterjee
Ehsan Kafshdar Goharshady
Mehrdad Karrabi
Petr Novotný
Dorde Zikelic
18
5
0
21 Dec 2023
Improve Robustness of Reinforcement Learning against Observation
  Perturbations via $l_\infty$ Lipschitz Policy Networks
Improve Robustness of Reinforcement Learning against Observation Perturbations via l∞l_\inftyl∞​ Lipschitz Policy Networks
Buqing Nie
Jingtian Ji
Yangqing Fu
Yue Gao
37
4
0
14 Dec 2023
MICRO: Model-Based Offline Reinforcement Learning with a Conservative
  Bellman Operator
MICRO: Model-Based Offline Reinforcement Learning with a Conservative Bellman Operator
Xiao-Yin Liu
Xiao-Hu Zhou
Guo-Tao Li
Hao Li
Mei-Jiang Gui
Tian-Yu Xiang
De-Xing Huang
Zeng-Guang Hou
OffRL
39
4
0
07 Dec 2023
Optimal Attack and Defense for Reinforcement Learning
Optimal Attack and Defense for Reinforcement Learning
Jeremy McMahan
Young Wu
Xiaojin Zhu
Qiaomin Xie
AAML
OffRL
29
9
0
30 Nov 2023
Towards Robust Offline Reinforcement Learning under Diverse Data
  Corruption
Towards Robust Offline Reinforcement Learning under Diverse Data Corruption
Rui Yang
Han Zhong
Jiawei Xu
Amy Zhang
Chong Zhang
Lei Han
Tong Zhang
OffRL
OnRL
41
15
0
19 Oct 2023
Robust Multi-Agent Reinforcement Learning by Mutual Information
  Regularization
Robust Multi-Agent Reinforcement Learning by Mutual Information Regularization
Simin Li
Ruixiao Xu
Jingqiao Xiu
Yuwei Zheng
Pu Feng
Yaodong Yang
Xianglong Liu
25
3
0
15 Oct 2023
Robustness to Multi-Modal Environment Uncertainty in MARL using
  Curriculum Learning
Robustness to Multi-Modal Environment Uncertainty in MARL using Curriculum Learning
Aakriti Agrawal
R. Aralikatti
Yanchao Sun
Furong Huang
23
0
0
12 Oct 2023
Adjustable Robust Reinforcement Learning for Online 3D Bin Packing
Adjustable Robust Reinforcement Learning for Online 3D Bin Packing
Yuxin Pan
Yize Chen
Fangzhen Lin
OffRL
43
9
0
06 Oct 2023
Robust Offline Reinforcement Learning -- Certify the Confidence Interval
Aayush Mishra
Simon S. Du
OffRL
26
0
0
28 Sep 2023
Wasserstein Distributionally Robust Control Barrier Function using
  Conditional Value-at-Risk with Differentiable Convex Programming
Wasserstein Distributionally Robust Control Barrier Function using Conditional Value-at-Risk with Differentiable Convex Programming
A. Chriat
Chuangchuang Sun
24
4
0
15 Sep 2023
Safe Reinforcement Learning with Dual Robustness
Safe Reinforcement Learning with Dual Robustness
Zeyang Li
Chuxiong Hu
Yunan Wang
Yujie Yang
Shengbo Eben Li
OffRL
29
7
0
13 Sep 2023
Robust Multi-Agent Reinforcement Learning with State Uncertainty
Robust Multi-Agent Reinforcement Learning with State Uncertainty
Sihong He
Songyang Han
Sanbao Su
Shuo Han
Shaofeng Zou
Fei Miao
OOD
33
42
0
30 Jul 2023
Game-Theoretic Robust Reinforcement Learning Handles Temporally-Coupled
  Perturbations
Game-Theoretic Robust Reinforcement Learning Handles Temporally-Coupled Perturbations
Yongyuan Liang
Yanchao Sun
Ruijie Zheng
Xiangyu Liu
Benjamin Eysenbach
T. Sandholm
Furong Huang
Stephen Marcus McAleer
OOD
43
0
0
22 Jul 2023
Natural Actor-Critic for Robust Reinforcement Learning with Function
  Approximation
Natural Actor-Critic for Robust Reinforcement Learning with Function Approximation
Ruida Zhou
Tao-Wen Liu
Min Cheng
D. Kalathil
P. R. Kumar
Chao Tian
40
19
0
17 Jul 2023
Seeing is not Believing: Robust Reinforcement Learning against Spurious
  Correlation
Seeing is not Believing: Robust Reinforcement Learning against Spurious Correlation
Wenhao Ding
Laixi Shi
Yuejie Chi
Ding Zhao
OOD
27
18
0
15 Jul 2023
Efficient Action Robust Reinforcement Learning with Probabilistic Policy
  Execution Uncertainty
Efficient Action Robust Reinforcement Learning with Probabilistic Policy Execution Uncertainty
Guanin Liu
Zhihan Zhou
Han Liu
Lifeng Lai
36
1
0
15 Jul 2023
DiAReL: Reinforcement Learning with Disturbance Awareness for Robust
  Sim2Real Policy Transfer in Robot Control
DiAReL: Reinforcement Learning with Disturbance Awareness for Robust Sim2Real Policy Transfer in Robot Control
M. Malmir
Josip Josifovski
Noah Klarmann
Alois C. Knoll
31
2
0
15 Jun 2023
Robust Reinforcement Learning through Efficient Adversarial Herding
Robust Reinforcement Learning through Efficient Adversarial Herding
Juncheng Dong
Hao-Lun Hsu
Qitong Gao
Vahid Tarokh
Miroslav Pajic
32
4
0
12 Jun 2023
Generalization Across Observation Shifts in Reinforcement Learning
Generalization Across Observation Shifts in Reinforcement Learning
Anuj Mahajan
Amy Zhang
OOD
OffRL
11
0
0
07 Jun 2023
Solving Robust MDPs through No-Regret Dynamics
Solving Robust MDPs through No-Regret Dynamics
E. Guha
30
0
0
30 May 2023
Online Nonstochastic Model-Free Reinforcement Learning
Online Nonstochastic Model-Free Reinforcement Learning
Udaya Ghai
Arushi Gupta
Wenhan Xia
Karan Singh
Elad Hazan
OffRL
31
6
0
27 May 2023
Rethinking Adversarial Policies: A Generalized Attack Formulation and
  Provable Defense in RL
Rethinking Adversarial Policies: A Generalized Attack Formulation and Provable Defense in RL
Xiangyu Liu
Souradip Chakraborty
Yanchao Sun
Furong Huang
AAML
26
4
0
27 May 2023
The Curious Price of Distributional Robustness in Reinforcement Learning
  with a Generative Model
The Curious Price of Distributional Robustness in Reinforcement Learning with a Generative Model
Laixi Shi
Gen Li
Yuting Wei
Yuxin Chen
M. Geist
Yuejie Chi
OOD
30
31
0
26 May 2023
Model-Free Robust Average-Reward Reinforcement Learning
Model-Free Robust Average-Reward Reinforcement Learning
Yue Wang
Alvaro Velasquez
George K. Atia
Ashley Prater-Bennette
Shaofeng Zou
32
9
0
17 May 2023
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