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EPOpt: Learning Robust Neural Network Policies Using Model Ensembles
v1v2v3v4 (latest)

EPOpt: Learning Robust Neural Network Policies Using Model Ensembles

International Conference on Learning Representations (ICLR), 2016
5 October 2016
Aravind Rajeswaran
Sarvjeet Ghotra
Balaraman Ravindran
Sergey Levine
ArXiv (abs)PDFHTML

Papers citing "EPOpt: Learning Robust Neural Network Policies Using Model Ensembles"

50 / 230 papers shown
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Adversarial Diffusion for Robust Reinforcement Learning
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Daniele Foffano
Alessio Russo
Alexandre Proutiere
163
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RoboView-Bias: Benchmarking Visual Bias in Embodied Agents for Robotic Manipulation
RoboView-Bias: Benchmarking Visual Bias in Embodied Agents for Robotic Manipulation
Enguang Liu
Siyuan Liang
Liming Lu
Xiyu Zeng
Xiaochun Cao
Aishan Liu
Shuchao Pang
126
0
0
26 Sep 2025
Improving Monte Carlo Tree Search for Symbolic Regression
Improving Monte Carlo Tree Search for Symbolic Regression
Zhengyao Huang
Daniel Zhengyu Huang
Tiannan Xiao
Dina Ma
Zhenyu Ming
Hao Shi
Yuanhui Wen
145
0
0
19 Sep 2025
ORVIT: Near-Optimal Online Distributionally Robust Reinforcement Learning
ORVIT: Near-Optimal Online Distributionally Robust Reinforcement Learning
Debamita Ghosh
George Atia
Yue Wang
OffRLOOD
295
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05 Aug 2025
Online Robust Multi-Agent Reinforcement Learning under Model Uncertainties
Online Robust Multi-Agent Reinforcement Learning under Model Uncertainties
Zain Ulabedeen Farhat
Debamita Ghosh
George Atia
Yue Wang
172
1
0
04 Aug 2025
RoboTwin 2.0: A Scalable Data Generator and Benchmark with Strong Domain Randomization for Robust Bimanual Robotic Manipulation
RoboTwin 2.0: A Scalable Data Generator and Benchmark with Strong Domain Randomization for Robust Bimanual Robotic Manipulation
Tianxing Chen
Z. Chen
Baijun Chen
Zijian Cai
Yibin Liu
...
Zhixuan Liang
Yusen Qin
Xiaokang Yang
Ping Luo
Yao Mu
SyDa
263
63
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22 Jun 2025
Zero-Shot Reinforcement Learning Under Partial Observability
Zero-Shot Reinforcement Learning Under Partial Observability
Scott Jeen
Tom Bewley
Jonathan M. Cullen
OffRL
206
1
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18 Jun 2025
Provable Sim-to-Real Transfer via Offline Domain Randomization
Provable Sim-to-Real Transfer via Offline Domain Randomization
Arnaud Fickinger
Abderrahim Bendahi
Stuart J. Russell
OffRL
254
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0
11 Jun 2025
Provably Sample-Efficient Robust Reinforcement Learning with Average Reward
Provably Sample-Efficient Robust Reinforcement Learning with Average Reward
Zachary Roch
Chi Zhang
George Atia
Yue Wang
292
2
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18 May 2025
Generalizable Image Repair for Robust Visual Control
Generalizable Image Repair for Robust Visual Control
Carson Sobolewski
Zhenjiang Mao
Kshitij Vejre
Ivan Ruchkin
287
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07 Mar 2025
Synchronize Dual Hands for Physics-Based Dexterous Guitar Playing
Synchronize Dual Hands for Physics-Based Dexterous Guitar PlayingACM SIGGRAPH Conference and Exhibition on Computer Graphics and Interactive Techniques in Asia (SIGGRAPH Asia), 2024
Pei Xu
Ruocheng Wang
303
6
0
20 Feb 2025
Survival of the Fittest: Evolutionary Adaptation of Policies for
  Environmental Shifts
Survival of the Fittest: Evolutionary Adaptation of Policies for Environmental ShiftsEuropean Conference on Artificial Intelligence (ECAI), 2024
Sheryl Paul
Jyotirmoy V. Deshmukh
147
0
0
22 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
225
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0
07 Oct 2024
Scaling Cross-Embodied Learning: One Policy for Manipulation,
  Navigation, Locomotion and Aviation
Scaling Cross-Embodied Learning: One Policy for Manipulation, Navigation, Locomotion and AviationConference on Robot Learning (CoRL), 2024
Ria Doshi
Homer Walke
Oier Mees
Sudeep Dasari
Sergey Levine
385
98
0
21 Aug 2024
Offline Model-Based Reinforcement Learning with Anti-Exploration
Offline Model-Based Reinforcement Learning with Anti-ExplorationEuropean Conference on Artificial Intelligence (ECAI), 2024
Padmanaba Srinivasan
William J. Knottenbelt
OffRL
253
0
0
20 Aug 2024
SigmaRL: A Sample-Efficient and Generalizable Multi-Agent Reinforcement Learning Framework for Motion Planning
SigmaRL: A Sample-Efficient and Generalizable Multi-Agent Reinforcement Learning Framework for Motion Planning
Jianye Xu
Pan Hu
Bassam Alrifaee
404
7
0
14 Aug 2024
Combining Federated Learning and Control: A Survey
Combining Federated Learning and Control: A Survey
Jakob Weber
Markus Gurtner
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Andreas Kugi
FedMLAI4CE
337
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12 Jul 2024
Commonsense Reasoning for Legged Robot Adaptation with Vision-Language
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Commonsense Reasoning for Legged Robot Adaptation with Vision-Language Models
Annie S. Chen
Alec M. Lessing
Andy Tang
Govind Chada
Laura Smith
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Chelsea Finn
LM&RoLRM
286
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02 Jul 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
110
10
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20 May 2024
Efficient Duple Perturbation Robustness in Low-rank MDPs
Efficient Duple Perturbation Robustness in Low-rank MDPs
Yang Hu
Haitong Ma
Bo Dai
Na Li
178
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0
11 Apr 2024
A Comprehensive Survey of Cross-Domain Policy Transfer for Embodied
  Agents
A Comprehensive Survey of Cross-Domain Policy Transfer for Embodied Agents
Haoyi Niu
Jianming Hu
Guyue Zhou
Xianyuan Zhan
194
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Analyzing Generalization in Policy Networks: A Case Study with the
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Analyzing Generalization in Policy Networks: A Case Study with the Double-Integrator SystemAAAI Conference on Artificial Intelligence (AAAI), 2023
Ruining Zhang
H. Han
Maolong Lv
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Jian Cheng
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223
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Towards more Practical Threat Models in Artificial Intelligence Security
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392
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Adapt On-the-Go: Behavior Modulation for Single-Life Robot Deployment
Adapt On-the-Go: Behavior Modulation for Single-Life Robot Deployment
Annie S. Chen
Govind Chada
Laura M. Smith
Archit Sharma
Zipeng Fu
Sergey Levine
Chelsea Finn
479
9
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02 Nov 2023
Absolute Policy Optimization
Absolute Policy Optimization
Weiye Zhao
Feihan Li
Yifan Sun
Rui Chen
Tianhao Wei
Changliu Liu
431
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20 Oct 2023
Towards Open-World Co-Salient Object Detection with Generative
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Towards Open-World Co-Salient Object Detection with Generative Uncertainty-aware Group Selective Exchange-Masking
Yang Wu
Shenglong Hu
Huihui Song
Kaihua Zhang
Bo Liu
Dong Liu
250
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On Representation Complexity of Model-based and Model-free Reinforcement
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On Representation Complexity of Model-based and Model-free Reinforcement LearningInternational Conference on Learning Representations (ICLR), 2023
Hanlin Zhu
Baihe Huang
Stuart Russell
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374
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03 Oct 2023
AdaptNet: Policy Adaptation for Physics-Based Character Control
AdaptNet: Policy Adaptation for Physics-Based Character ControlACM Transactions on Graphics (TOG), 2023
Pei Xu
Kaixiang Xie
Sheldon Andrews
P. Kry
Michael Neff
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Ioannis Karamouzas
Victor Zordan
TTA
447
28
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30 Sep 2023
H2O+: An Improved Framework for Hybrid Offline-and-Online RL with Dynamics Gaps
H2O+: An Improved Framework for Hybrid Offline-and-Online RL with Dynamics GapsIEEE International Conference on Robotics and Automation (ICRA), 2023
Haoyi Niu
Tianying Ji
Bingqi Liu
Haocheng Zhao
Xiangyu Zhu
Jianying Zheng
Pengfei Huang
Guyue Zhou
Jianming Hu
Xianyuan Zhan
OffRLOnRLAI4CE
442
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22 Sep 2023
Characterization of Human Balance through a Reinforcement Learning-based
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Kubra Akbas
Carlotta Mummolo
Xianlian Zhou
158
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08 Aug 2023
An Alternative to Variance: Gini Deviation for Risk-averse Policy
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An Alternative to Variance: Gini Deviation for Risk-averse Policy GradientNeural Information Processing Systems (NeurIPS), 2023
Yudong Luo
Guiliang Liu
Pascal Poupart
Yangchen Pan
346
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17 Jul 2023
PID-Inspired Inductive Biases for Deep Reinforcement Learning in
  Partially Observable Control Tasks
PID-Inspired Inductive Biases for Deep Reinforcement Learning in Partially Observable Control TasksNeural Information Processing Systems (NeurIPS), 2023
I. Char
J. Schneider
263
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12 Jul 2023
Decomposing the Generalization Gap in Imitation Learning for Visual
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Decomposing the Generalization Gap in Imitation Learning for Visual Robotic ManipulationIEEE International Conference on Robotics and Automation (ICRA), 2023
Annie Xie
Lisa Lee
Ted Xiao
Chelsea Finn
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Learning to Modulate pre-trained Models in RL
Learning to Modulate pre-trained Models in RLNeural Information Processing Systems (NeurIPS), 2023
Thomas Schmied
M. Hofmarcher
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261
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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
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Alois C. Knoll
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Rewarded soups: towards Pareto-optimal alignment by interpolating
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Rewarded soups: towards Pareto-optimal alignment by interpolating weights fine-tuned on diverse rewardsNeural Information Processing Systems (NeurIPS), 2023
Alexandre Ramé
Guillaume Couairon
Mustafa Shukor
Corentin Dancette
Jean-Baptiste Gaya
Laure Soulier
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ReLU to the Rescue: Improve Your On-Policy Actor-Critic with Positive
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Andrew Jesson
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Jakob N. Foerster
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Cross-Domain Policy Adaptation via Value-Guided Data Filtering
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Kang Xu
Chenjia Bai
Xiaoteng Ma
Dong Wang
Bingyan Zhao
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308
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Multi-Agent Reinforcement Learning: Methods, Applications, Visionary
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Multi-Agent Reinforcement Learning: Methods, Applications, Visionary Prospects, and ChallengesIEEE Transactions on Intelligent Vehicles (TIV), 2023
Ziyuan Zhou
Guanjun Liu
Ying-Si Tang
299
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On Practical Robust Reinforcement Learning: Practical Uncertainty Set
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Ukjo Hwang
Songnam Hong
239
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Zero-shot Transfer Learning of Driving Policy via Socially Adversarial
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Zero-shot Transfer Learning of Driving Policy via Socially Adversarial Traffic Flow
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Yunkai Wang
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232
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Robust nonlinear set-point control with reinforcement learning
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Per Mattsson
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126
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Learning and Adapting Agile Locomotion Skills by Transferring Experience
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Tianyu Li
Linda Luu
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218
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Regret-Based Defense in Adversarial Reinforcement Learning
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Zero-shot Sim2Real Adaptation Across Environments
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Predictable MDP Abstraction for Unsupervised Model-Based RL
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