A Survey of Zero-shot Generalisation in Deep Reinforcement Learning

18 November 2021

Papers citing "A Survey of Zero-shot Generalisation in Deep Reinforcement Learning"

38 / 38 papers shown

Title
Improving Human-AI Coordination through Adversarial Training and Generative Models Paresh Chaudhary Yancheng Liang Daphne Chen S. Du Natasha Jaques 64 0 0 21 Apr 2025
CoLMDriver: LLM-based Negotiation Benefits Cooperative Autonomous Driving Changxing Liu Genjia Liu Z. Wang Jinchang Yang Siheng Chen 62 0 0 11 Mar 2025
Studying the Interplay Between the Actor and Critic Representations in Reinforcement Learning Samuel Garcin Trevor A. McInroe P. S. Castro Prakash Panangaden Christopher G. Lucas David Abel Stefano V. Albrecht 46 0 0 08 Mar 2025
On Generalization Across Environments In Multi-Objective Reinforcement Learning Jayden Teoh Pradeep Varakantham Peter Vamplew OffRL 34 0 0 02 Mar 2025
CarPlanner: Consistent Auto-regressive Trajectory Planning for Large-scale Reinforcement Learning in Autonomous Driving Dongkun Zhang Jiaming Liang Ke Guo Sha Lu Qi Wang R. Xiong Zhenwei Miao Yue Wang 59 1 0 27 Feb 2025
Toward Task Generalization via Memory Augmentation in Meta-Reinforcement Learning Kaixi Bao Chenhao Li Yarden As Andreas Krause Marco Hutter OffRL CLL 98 1 0 03 Feb 2025
A Novel Switch-Type Policy Network for Resource Allocation Problems: Technical Report Jerrod Wigmore B. Shrader E. Modiano 65 0 0 19 Jan 2025
State Chrono Representation for Enhancing Generalization in Reinforcement Learning Jianda Chen Wen Zheng Terence Ng Zichen Chen Sinno Jialin Pan Tianwei Zhang OffRL 28 0 0 09 Nov 2024
Enabling Adaptive Agent Training in Open-Ended Simulators by Targeting Diversity Robby Costales Stefanos Nikolaidis AI4CE 23 0 0 07 Nov 2024
Entity-based Reinforcement Learning for Autonomous Cyber Defence Isaac Symes Thompson Alberto Caron Chris Hicks V. Mavroudis AAML 43 2 0 23 Oct 2024
Towards Map-Agnostic Policies for Adaptive Informative Path Planning Julius Ruckin David Morilla-Cabello C. Stachniss Eduardo Montijano Marija Popović 21 0 0 22 Oct 2024
SigmaRL: A Sample-Efficient and Generalizable Multi-Agent Reinforcement Learning Framework for Motion Planning Jianye Xu Pan Hu Bassam Alrifaee 29 5 0 14 Aug 2024
Model-Based Transfer Learning for Contextual Reinforcement Learning Jung-Hoon Cho Vindula Jayawardana Sirui Li Cathy Wu OffRL 38 0 0 08 Aug 2024
Towards Generalizable Reinforcement Learning via Causality-Guided Self-Adaptive Representations Yupei Yang Biwei Huang Fan Feng Xinyue Wang Shikui Tu Lei Xu CML OOD TTA 36 1 0 30 Jul 2024
Graceful task adaptation with a bi-hemispheric RL agent Grant Nicholas L. Kuhlmann Gideon Kowadlo 25 0 0 16 Jul 2024
Frequency and Generalisation of Periodic Activation Functions in Reinforcement Learning Augustine N. Mavor-Parker Matthew J. Sargent Caswell Barry Lewis D. Griffin Clare Lyle 37 2 0 09 Jul 2024
Can Learned Optimization Make Reinforcement Learning Less Difficult? Alexander David Goldie Chris Xiaoxuan Lu Matthew Jackson Shimon Whiteson Jakob N. Foerster 37 3 0 09 Jul 2024
Structural Generalization in Autonomous Cyber Incident Response with Message-Passing Neural Networks and Reinforcement Learning Jakob Nyberg Pontus Johnson 20 1 0 08 Jul 2024
Inductive Generalization in Reinforcement Learning from Specifications Vignesh Subramanian Rohit Kushwah Subhajit Roy Suguman Bansal OffRL 21 0 0 05 Jun 2024
Synthesizing Programmatic Reinforcement Learning Policies with Large Language Model Guided Search Max Liu Chan-Hung Yu Wei-Hsu Lee Cheng-Wei Hung Yen-Chun Chen Shao-Hua Sun 46 3 0 26 May 2024
Hierarchical Transformers are Efficient Meta-Reinforcement Learners Gresa Shala André Biedenkapp Josif Grabocka OffRL 27 4 0 09 Feb 2024
Closing the Gap between TD Learning and Supervised Learning -- A Generalisation Point of View Raj Ghugare Matthieu Geist Glen Berseth Benjamin Eysenbach OffRL 25 14 0 20 Jan 2024
One is More: Diverse Perspectives within a Single Network for Efficient DRL Yiqin Tan Ling Pan Longbo Huang OffRL 22 0 0 21 Oct 2023
ZSC-Eval: An Evaluation Toolkit and Benchmark for Multi-agent Zero-shot Coordination Xihuai Wang Shao Zhang Wenhao Zhang Wentao Dong Jingxiao Chen Ying Wen Weinan Zhang 22 8 0 08 Oct 2023
Robust Reinforcement Learning in Continuous Control Tasks with Uncertainty Set Regularization Yuan Zhang Jianhong Wang Joschka Boedecker 24 3 0 05 Jul 2022
Replay-Guided Adversarial Environment Design Minqi Jiang Michael Dennis Jack Parker-Holder Jakob N. Foerster Edward Grefenstette Tim Rocktaschel 116 94 0 06 Oct 2021
CARL: A Benchmark for Contextual and Adaptive Reinforcement Learning C. Benjamins Theresa Eimer Frederik Schubert André Biedenkapp Bodo Rosenhahn Frank Hutter Marius Lindauer OffRL 36 23 0 05 Oct 2021
MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research Mikayel Samvelyan Robert Kirk Vitaly Kurin Jack Parker-Holder Minqi Jiang Eric Hambro Fabio Petroni Heinrich Küttler Edward Grefenstette Tim Rocktaschel OffRL 226 89 0 27 Sep 2021
Dropout's Dream Land: Generalization from Learned Simulators to Reality Zac Wellmer James T. Kwok SyDa 11 9 0 17 Sep 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 267 107 0 13 Jul 2021
The Distracting Control Suite -- A Challenging Benchmark for Reinforcement Learning from Pixels Austin Stone Oscar Ramirez K. Konolige Rico Jonschkowski 127 101 0 07 Jan 2021
When Is Generalizable Reinforcement Learning Tractable? Dhruv Malik Yuanzhi Li Pradeep Ravikumar OffRL 43 24 0 01 Jan 2021
Improving Generalization in Reinforcement Learning with Mixture Regularization Kaixin Wang Bingyi Kang Jie Shao Jiashi Feng 104 113 0 21 Oct 2020
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 321 1,944 0 04 May 2020
Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey Sanmit Narvekar Bei Peng Matteo Leonetti Jivko Sinapov Matthew E. Taylor Peter Stone ODL 132 451 0 10 Mar 2020
"Other-Play" for Zero-Shot Coordination Hengyuan Hu Adam Lerer A. Peysakhovich Jakob N. Foerster VLM OffRL 133 213 0 06 Mar 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 243 11,568 0 09 Mar 2017
CAD2RL: Real Single-Image Flight without a Single Real Image Fereshteh Sadeghi Sergey Levine SSL 216 808 0 13 Nov 2016