Generalization in Reinforcement Learning with Selective Noise Injection and Information Bottleneck

28 October 2019

Maximilian Igl

K. Ciosek

Yingzhen Li

Sebastian Tschiatschek

Papers citing "Generalization in Reinforcement Learning with Selective Noise Injection and Information Bottleneck"

45 / 45 papers shown

Title
On Generalization Across Environments In Multi-Objective Reinforcement Learning Jayden Teoh Pradeep Varakantham Peter Vamplew OffRL 36 1 0 02 Mar 2025
Task Aware Dreamer for Task Generalization in Reinforcement Learning Chengyang Ying Zhongkai Hao Xinning Zhou Hang Su Songming Liu Dong Yan Jun Zhu 77 3 0 17 Feb 2025
Adaptive Data Exploitation in Deep Reinforcement Learning Mingqi Yuan Bo Li Xin Jin Wenjun Zeng OffRL 258 0 0 22 Jan 2025
MeMo: Meaningful, Modular Controllers via Noise Injection Megan Tjandrasuwita Jie Xu Armando Solar-Lezama Wojciech Matusik 28 0 0 24 May 2024
Closing the Gap between TD Learning and Supervised Learning -- A Generalisation Point of View Raj Ghugare Matthieu Geist Glen Berseth Benjamin Eysenbach OffRL 37 14 0 20 Jan 2024
Learning High-Order Relationships of Brain Regions Weikang Qiu Huangrui Chu Selena Wang Haolan Zuo Xiaoxiao Li Yize Zhao Rex Ying 37 6 0 02 Dec 2023
Adversarial Style Transfer for Robust Policy Optimization in Deep Reinforcement Learning Md Masudur Rahman Yexiang Xue 29 4 0 29 Aug 2023
Individual and Structural Graph Information Bottlenecks for Out-of-Distribution Generalization Ling Yang Jiayi Zheng Heyuan Wang Zhongyi Liu Zhilin Huang Shenda Hong Wentao Zhang Tengjiao Wang 34 13 0 28 Jun 2023
Facilitating Sim-to-real by Intrinsic Stochasticity of Real-Time Simulation in Reinforcement Learning for Robot Manipulation Ram Dershan Amir M. Soufi Enayati Zengjie Zhang D. Richert H. Najjaran 30 3 0 12 Apr 2023
Quantum Multi-Agent Actor-Critic Networks for Cooperative Mobile Access in Multi-UAV Systems C. Park Won Joon Yun Jae Pyoung Kim Tiago Koketsu Rodrigues Soohyun Park Soyi Jung Joongheon Kim 28 36 0 09 Feb 2023
Improving generalization in reinforcement learning through forked agents Olivier Moulin Vincent François-Lavet Mark Hoogendoorn AI4CE 28 0 0 13 Dec 2022
A Comprehensive Survey of Data Augmentation in Visual Reinforcement Learning Guozheng Ma Zhen Wang Zhecheng Yuan Xueqian Wang Bo Yuan Dacheng Tao OffRL 45 27 0 10 Oct 2022
Learn the Time to Learn: Replay Scheduling in Continual Learning Marcus Klasson Hedvig Kjellström Chen Zhang CLL 37 9 0 18 Sep 2022
Look where you look! Saliency-guided Q-networks for generalization in visual Reinforcement Learning David Bertoin Adil Zouitine Mehdi Zouitine Emmanuel Rachelson 40 30 0 16 Sep 2022
Bootstrap State Representation using Style Transfer for Better Generalization in Deep Reinforcement Learning Md Masudur Rahman Yexiang Xue OffRL 34 4 0 15 Jul 2022
Improving Policy Optimization with Generalist-Specialist Learning Zhiwei Jia Xuanlin Li Z. Ling Shuang Liu Yiran Wu H. Su OffRL 32 24 0 26 Jun 2022
Learning Dynamics and Generalization in Reinforcement Learning Clare Lyle Mark Rowland Will Dabney Marta Z. Kwiatkowska Y. Gal OOD OffRL 30 12 0 05 Jun 2022
Learning Task-relevant Representations for Generalization via Characteristic Functions of Reward Sequence Distributions Rui Yang Jie Wang Zijie Geng Mingxuan Ye Shuiwang Ji Bin Li Fengli Wu OOD 36 20 0 20 May 2022
Rate-Constrained Remote Contextual Bandits Francesco Pase Deniz Gündüz M. Zorzi 34 8 0 26 Apr 2022
Local Feature Swapping for Generalization in Reinforcement Learning David Bertoin Emmanuel Rachelson OOD 29 14 0 13 Apr 2022
Vision-Based Manipulators Need to Also See from Their Hands Kyle Hsu Moo Jin Kim Rafael Rafailov Jiajun Wu Chelsea Finn 34 45 0 15 Mar 2022
Evolving Curricula with Regret-Based Environment Design Jack Parker-Holder Minqi Jiang Michael Dennis Mikayel Samvelyan Jakob N. Foerster Edward Grefenstette Tim Rocktaschel 31 118 0 02 Mar 2022
Stochastic Perturbations of Tabular Features for Non-Deterministic Inference with Automunge Nicholas J. Teague AAML 33 1 0 18 Feb 2022
User-Oriented Robust Reinforcement Learning Haoyi You Beichen Yu Haiming Jin Zhaoxing Yang Jiahui Sun OffRL 32 0 0 15 Feb 2022
CGIBNet: Bandwidth-constrained Communication with Graph Information Bottleneck in Multi-Agent Reinforcement Learning Qi Tian Kun Kuang Baoxiang Wang Furui Liu Fei Wu 26 0 0 20 Dec 2021
Improving Subgraph Recognition with Variational Graph Information Bottleneck Junchi Yu Jie Cao Ran He 22 53 0 18 Dec 2021
Learning Robust Controllers Via Probabilistic Model-Based Policy Search V. Charvet B. S. Jensen R. Murray-Smith 19 2 0 26 Oct 2021
Robust Control Under Uncertainty via Bounded Rationality and Differential Privacy Vincent Pacelli Anirudha Majumdar 37 9 0 17 Sep 2021
Robust Predictable Control Benjamin Eysenbach Ruslan Salakhutdinov Sergey Levine OffRL 32 44 0 07 Sep 2021
Active Reinforcement Learning over MDPs Qi Yang Peng Yang K. Tang 41 0 0 05 Aug 2021
Why Generalization in RL is Difficult: Epistemic POMDPs and Implicit Partial Observability Dibya Ghosh Jad Rahme Aviral Kumar Amy Zhang Ryan P. Adams Sergey Levine OffRL 283 109 0 13 Jul 2021
SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual Policies Linxi Fan Guanzhi Wang De-An Huang Zhiding Yu Li Fei-Fei Yuke Zhu Anima Anandkumar OffRL 30 63 0 17 Jun 2021
Rapid Exploration for Open-World Navigation with Latent Goal Models Dhruv Shah Benjamin Eysenbach G. Kahn Nicholas Rhinehart Sergey Levine 32 70 0 12 Apr 2021
Domain Generalization with MixStyle Kaiyang Zhou Yongxin Yang Yu Qiao Tao Xiang 71 745 0 05 Apr 2021
Sparse Attention Guided Dynamic Value Estimation for Single-Task Multi-Scene Reinforcement Learning Jaskirat Singh Liang Zheng OffRL 21 3 0 14 Feb 2021
Instance based Generalization in Reinforcement Learning Martín Bertrán Natalia Martínez Mariano Phielipp Guillermo Sapiro OffRL 27 16 0 02 Nov 2020
One Solution is Not All You Need: Few-Shot Extrapolation via Structured MaxEnt RL Saurabh Kumar Aviral Kumar Sergey Levine Chelsea Finn OffRL 16 90 0 27 Oct 2020
Graph Information Bottleneck for Subgraph Recognition Junchi Yu Tingyang Xu Yu Rong Yatao Bian Junzhou Huang Ran He 30 153 0 12 Oct 2020
Predictive Information Accelerates Learning in RL Kuang-Huei Lee Ian S. Fischer Anthony Z. Liu Yijie Guo Honglak Lee John F. Canny S. Guadarrama 23 72 0 24 Jul 2020
Automatic Data Augmentation for Generalization in Deep Reinforcement Learning Roberta Raileanu M. Goldstein Denis Yarats Ilya Kostrikov Rob Fergus OffRL 22 109 0 23 Jun 2020
Transient Non-Stationarity and Generalisation in Deep Reinforcement Learning Maximilian Igl Gregory Farquhar Jelena Luketina Wendelin Boehmer Shimon Whiteson 27 84 0 10 Jun 2020
Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning Shariq Iqbal Christian Schroeder de Witt Bei Peng Wendelin Bohmer Shimon Whiteson Fei Sha 29 64 0 07 Jun 2020
Gradient Monitored Reinforcement Learning Mohammed Sharafath Abdul Hameed Gavneet Singh Chadha Andreas Schwung S. Ding 33 10 0 25 May 2020
Rotation, Translation, and Cropping for Zero-Shot Generalization Chang Ye Ahmed Khalifa Philip Bontrager Julian Togelius 32 38 0 27 Jan 2020
CAD2RL: Real Single-Image Flight without a Single Real Image Fereshteh Sadeghi Sergey Levine SSL 246 810 0 13 Nov 2016