Quantifying Generalization in Reinforcement Learning

6 December 2018

Papers citing "Quantifying Generalization in Reinforcement Learning"

50 / 396 papers shown

Title
Modeling Unseen Environments with Language-guided Composable Causal Components in Reinforcement Learning Xinyue Wang Zhen Zhang OffRL CML 29 0 0 13 May 2025
Cache-Efficient Posterior Sampling for Reinforcement Learning with LLM-Derived Priors Across Discrete and Continuous Domains Ibne Farabi Shihab Sanjeda Akter Anuj Sharma BDL 34 0 0 12 May 2025
Towards Human-Centric Autonomous Driving: A Fast-Slow Architecture Integrating Large Language Model Guidance with Reinforcement Learning Chengkai Xu Jiaqi Liu Yicheng Guo Wenjie Qu Peng Hang Jian Sun 31 0 0 11 May 2025
CCL: Collaborative Curriculum Learning for Sparse-Reward Multi-Agent Reinforcement Learning via Co-evolutionary Task Evolution Yufei Lin Chengwei Ye Hongzhi Zhang Kangsheng Wang Linuo Xu Shuyan Liu Zeyu Zhang 37 1 0 08 May 2025
Training Environment for High Performance Reinforcement Learning Greg Search AI4CE 27 0 0 04 May 2025
KETCHUP: K-Step Return Estimation for Sequential Knowledge Distillation Jiabin Fan Guoqing Luo Michael Bowling Lili Mou OffRL 68 0 0 26 Apr 2025
Offline Robotic World Model: Learning Robotic Policies without a Physics Simulator Chenhao Li Andreas Krause Marco Hutter OffRL 31 0 0 23 Apr 2025
Cross-environment Cooperation Enables Zero-shot Multi-agent Coordination Kunal Jha Wilka Carvalho Yancheng Liang S. Du Max Kleiman-Weiner Natasha Jaques 27 0 0 17 Apr 2025
Understanding the theoretical properties of projected Bellman equation, linear Q-learning, and approximate value iteration Han-Dong Lim Donghwan Lee 16 0 0 15 Apr 2025
FLoRA: Sample-Efficient Preference-based RL via Low-Rank Style Adaptation of Reward Functions Daniel Marta Simon Holk Miguel Vasco Jens Lundell Timon Homberger F. L. Busch Olov Andersson Danica Kragic Iolanda Leite 38 0 0 14 Apr 2025
Exploration-Driven Generative Interactive Environments N. Savov Naser Kazemi Mohammad Mahdi Danda Pani Paudel Xi Wang Luc Van Gool VGen 3DV 43 0 0 03 Apr 2025
Learning with Expert Abstractions for Efficient Multi-Task Continuous Control Jeff Jewett Sandhya Saisubramanian OffRL 48 0 0 19 Mar 2025
Zero-Shot Action Generalization with Limited Observations Abdullah Alchihabi Hanping Zhang Yuhong Guo OffRL 46 0 0 11 Mar 2025
ForceGrip: Reference-Free Curriculum Learning for Realistic Grip Force Control in VR Hand Manipulation DongHeun Han Byungmin Kim RoUn Lee KyeongMin Kim Hyoseok Hwang HyeongYeop Kang 63 0 0 11 Mar 2025
Impoola: The Power of Average Pooling for Image-Based Deep Reinforcement Learning Raphael Trumpp Ansgar Schäfftlein Mirco Theile Marco Caccamo 39 0 0 07 Mar 2025
A2Perf: Real-World Autonomous Agents Benchmark Ikechukwu Uchendu Jason J. Jabbour Korneel Van den Berghe Joel Runevic Matthew P. Stewart ... S. Guadarrama Jie Tan Jordan K. Terry Aleksandra Faust Vijay Janapa Reddi 36 0 0 04 Mar 2025
Enhancing Deep Reinforcement Learning-based Robot Navigation Generalization through Scenario Augmentation Shanze Wang Mingao Tan Zhengyuan Yang Xinyu Wang Xiaoyu Shen Hailong Huang Wei Zhang 53 0 0 03 Mar 2025
On Generalization Across Environments In Multi-Objective Reinforcement Learning Jayden Teoh Pradeep Varakantham Peter Vamplew OffRL 34 0 0 02 Mar 2025
Provable Performance Bounds for Digital Twin-driven Deep Reinforcement Learning in Wireless Networks: A Novel Digital-Twin Bisimulation Metric Zhenyu Tao Wei Xu Xiaohu You OffRL 64 0 0 25 Feb 2025
Task Aware Dreamer for Task Generalization in Reinforcement Learning Chengyang Ying Zhongkai Hao Xinning Zhou Hang Su Songming Liu Dong Yan Jun Zhu 72 3 0 17 Feb 2025
Improving Environment Novelty Quantification for Effective Unsupervised Environment Design Jayden Teoh Wenjun Li Pradeep Varakantham 55 1 0 08 Feb 2025
Inductive Biases for Zero-shot Systematic Generalization in Language-informed Reinforcement Learning Negin Hashemi Dijujin Seyed Roozbeh Razavi Rohani Mohammad Samiei M. Baghshah 58 0 0 28 Jan 2025
State Combinatorial Generalization In Decision Making With Conditional Diffusion Models Xintong Duan Yutong He Fahim Tajwar Wen-Tse Chen Ruslan Salakhutdinov Jeff Schneider OffRL AI4CE 99 0 0 22 Jan 2025
Evolution and The Knightian Blindspot of Machine Learning Joel Lehman Elliot Meyerson Tarek El-Gaaly Kenneth O. Stanley Tarin Ziyaee 86 1 0 22 Jan 2025
To Measure or Not: A Cost-Sensitive, Selective Measuring Environment for Agricultural Management Decisions with Reinforcement Learning Hilmy Baja Michiel Kallenberg Ioannis Athanasiadis OffRL 51 0 0 22 Jan 2025
Audio-Driven Reinforcement Learning for Head-Orientation in Naturalistic Environments Wessel Ledder Yuzhen Qin Kiki van der Heijden 104 0 0 20 Jan 2025
A Novel Switch-Type Policy Network for Resource Allocation Problems: Technical Report Jerrod Wigmore B. Shrader E. Modiano 67 0 0 19 Jan 2025
Environment Descriptions for Usability and Generalisation in Reinforcement Learning Dennis J. N. J. Soemers Spyridon Samothrakis Kurt Driessens M. Winands OffRL 85 1 0 22 Dec 2024
CaPo: Cooperative Plan Optimization for Efficient Embodied Multi-Agent Cooperation Jie Liu Pan Zhou Yingjun Du Ah-Hwee Tan Cees G. M. Snoek J. Sonke E. Gavves LLMAG 29 2 0 07 Nov 2024
Accelerating Task Generalisation with Multi-Level Skill Hierarchies Thomas P Cannon Özgür Simsek AI4CE 41 0 0 05 Nov 2024
Kinetix: Investigating the Training of General Agents through Open-Ended Physics-Based Control Tasks Michael T. Matthews Michael Beukman Chris Xiaoxuan Lu Jakob Foerster OffRL AI4CE 36 2 0 30 Oct 2024
Adversarial Environment Design via Regret-Guided Diffusion Models Hojun Chung Junseo Lee Minsoo Kim Dohyeong Kim Songhwai Oh 31 0 0 25 Oct 2024
Guiding Reinforcement Learning with Incomplete System Dynamics Shuyuan Wang Jingliang Duan Nathan P. Lawrence Philip D. Loewen M. Forbes R. Bhushan Gopaluni Lixian Zhang 19 0 0 22 Oct 2024
Reinforcement Learning with Euclidean Data Augmentation for State-Based Continuous Control Jinzhu Luo Dingyang Chen Qi Zhang OffRL 26 0 0 16 Oct 2024
Efficient Reinforcement Learning with Large Language Model Priors Xue Yan Yan Song Xidong Feng Mengyue Yang Haifeng Zhang Haitham Bou Ammar Jun Wang OffRL 33 3 0 10 Oct 2024
Mitigating Adversarial Perturbations for Deep Reinforcement Learning via Vector Quantization Tung M. Luu Thanh Nguyen Tee Joshua Tian Jin Sungwoon Kim Chang D. Yoo AAML 28 0 0 04 Oct 2024
Boosting Sample Efficiency and Generalization in Multi-agent Reinforcement Learning via Equivariance Joshua McClellan Naveed Haghani John Winder Furong Huang Pratap Tokekar 32 4 0 03 Oct 2024
C-MORL: Multi-Objective Reinforcement Learning through Efficient Discovery of Pareto Front Ruohong Liu Yuxin Pan Linjie Xu Lei Song Jiang Bian Pengcheng You Yize Chen 40 1 0 03 Oct 2024
RoboNurse-VLA: Robotic Scrub Nurse System based on Vision-Language-Action Model Shunlei Li Jin Wang Rui Dai Wanyu Ma Wing Yin Ng Yingbai Hu Zheng Li 26 2 0 29 Sep 2024
Focus On What Matters: Separated Models For Visual-Based RL Generalization Di Zhang Bowen Lv Hai Zhang Feifan Yang Junqiao Zhao Hang Yu Chang Huang Hongtu Zhou Chen Ye Changjun Jiang 32 3 0 29 Sep 2024
Verti-Selector: Automatic Curriculum Learning for Wheeled Mobility on Vertically Challenging Terrain Tong Xu Chenhui Pan Xuesu Xiao 24 2 0 26 Sep 2024
Disentangling Recognition and Decision Regrets in Image-Based Reinforcement Learning Alihan Hüyük A. R. Koblitz Atefeh Mohajeri M. Andrews OffRL 40 0 0 19 Sep 2024
Learning Generative Interactive Environments By Trained Agent Exploration Naser Kazemi N. Savov Danda Paudel Luc Van Gool 45 2 0 10 Sep 2024
D5RL: Diverse Datasets for Data-Driven Deep Reinforcement Learning Rafael Rafailov Kyle Hatch Anikait Singh Laura Smith Aviral Kumar ... Victor Kolev Philip J. Ball Jiajun Wu Chelsea Finn Sergey Levine OffRL 34 3 0 15 Aug 2024
SigmaRL: A Sample-Efficient and Generalizable Multi-Agent Reinforcement Learning Framework for Motion Planning Jianye Xu Pan Hu Bassam Alrifaee 44 5 0 14 Aug 2024
State-of-the-art in Robot Learning for Multi-Robot Collaboration: A Comprehensive Survey Bin Wu C. S. Suh 3DV 47 2 0 03 Aug 2024
Towards Generalizable Reinforcement Learning via Causality-Guided Self-Adaptive Representations Yupei Yang Erdun Gao Fan Feng Xinyue Wang Shikui Tu Lei Xu CML OOD TTA 38 1 0 30 Jul 2024
Evaluation of Reinforcement Learning for Autonomous Penetration Testing using A3C, Q-learning and DQN Norman Becker Daniel Reti Evridiki V. Ntagiou M. Wallum Hans D. Schotten 31 1 0 22 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 47 2 0 09 Jul 2024
Autoverse: An Evolvable Game Language for Learning Robust Embodied Agents Sam Earle Julian Togelius 21 1 0 05 Jul 2024