Quantifying Generalization in Reinforcement Learning

6 December 2018

Papers citing "Quantifying Generalization in Reinforcement Learning"

50 / 397 papers shown

Title
Adversarial Style Transfer for Robust Policy Optimization in Deep Reinforcement Learning Md Masudur Rahman Yexiang Xue 29 4 0 29 Aug 2023
Go Beyond Imagination: Maximizing Episodic Reachability with World Models Yao Fu Run Peng Honglak Lee 24 1 0 25 Aug 2023
JoinGym: An Efficient Query Optimization Environment for Reinforcement Learning Kaiwen Wang Junxiong Wang Yueying Li Nathan Kallus Immanuel Trummer Wen Sun GP 50 2 0 21 Jul 2023
Measuring and Mitigating Interference in Reinforcement Learning Vincent Liu Han Wang Ruo Yu Tao Khurram Javed Adam White Martha White 27 5 0 10 Jul 2023
Concept Extrapolation: A Conceptual Primer Matija Franklin Rebecca Gorman Hal Ashton Stuart Armstrong 18 1 0 19 Jun 2023
Online Prototype Alignment for Few-shot Policy Transfer Qi Yi Rui Zhang Shaohui Peng Jiaming Guo Yunkai Gao ... Xingui Hu Zidong Du Xishan Zhang Qi Guo Yunji Chen OffRL 27 4 0 12 Jun 2023
The Role of Diverse Replay for Generalisation in Reinforcement Learning Max Weltevrede M. Spaan Wendelin Bohmer OffRL 18 1 0 09 Jun 2023
On the Importance of Exploration for Generalization in Reinforcement Learning Yiding Jiang J. Zico Kolter Roberta Raileanu UQCV OffRL 32 20 0 08 Jun 2023
Instructed Diffuser with Temporal Condition Guidance for Offline Reinforcement Learning Jifeng Hu Yan Sun Sili Huang Siyuan Guo Hechang Chen Li Shen Lichao Sun Yi-Ju Chang Dacheng Tao DiffM OffRL 43 13 0 08 Jun 2023
A Study of Global and Episodic Bonuses for Exploration in Contextual MDPs Mikael Henaff Minqi Jiang Roberta Raileanu 46 13 0 05 Jun 2023
Explore to Generalize in Zero-Shot RL E. Zisselman Itai Lavie Daniel Soudry Aviv Tamar 28 15 0 05 Jun 2023
Normalization Enhances Generalization in Visual Reinforcement Learning Lu Li Jiafei Lyu Guozheng Ma Zilin Wang Zhen Yang Xiu Li Zhiheng Li OOD 25 8 0 01 Jun 2023
Solving Robust MDPs through No-Regret Dynamics E. Guha 33 0 0 30 May 2023
What is Essential for Unseen Goal Generalization of Offline Goal-conditioned RL? Rui Yang Yong Lin Xiaoteng Ma Haotian Hu Chongjie Zhang Tong Zhang OffRL 29 22 0 30 May 2023
Diffusion Model is an Effective Planner and Data Synthesizer for Multi-Task Reinforcement Learning Haoran He Chenjia Bai Kang Xu Zhuoran Yang Weinan Zhang Dong Wang Bingyan Zhao Xuelong Li DiffM OffRL 38 90 0 29 May 2023
Self-Supervised Reinforcement Learning that Transfers using Random Features Boyuan Chen Chuning Zhu Pulkit Agrawal Kaipeng Zhang Abhishek Gupta OffRL SSL 30 6 0 26 May 2023
Towards Generalizable Reinforcement Learning for Trade Execution Chuheng Zhang Yitong Duan Xiaoyu Chen Jianyu Chen Jian Li L. Zhao OffRL 17 7 0 12 May 2023
Train a Real-world Local Path Planner in One Hour via Partially Decoupled Reinforcement Learning and Vectorized Diversity Jinghao Xin Jinwoo Kim Zehan Li Ning Li OffRL 28 3 0 07 May 2023
Simple Noisy Environment Augmentation for Reinforcement Learning Raad Khraishi Ramin Okhrati OffRL 18 1 0 04 May 2023
Get Back Here: Robust Imitation by Return-to-Distribution Planning Geoffrey Cideron B. Tabanpour Sebastian Curi Sertan Girgin Léonard Hussenot Gabriel Dulac-Arnold M. Geist Olivier Pietquin Robert Dadashi OOD 84 2 0 02 May 2023
Adversarial Policy Optimization in Deep Reinforcement Learning Md Masudur Rahman Yexiang Xue AAML 27 0 0 27 Apr 2023
Can Agents Run Relay Race with Strangers? Generalization of RL to Out-of-Distribution Trajectories Li-Cheng Lan Huan Zhang Cho-Jui Hsieh OODD 26 9 0 26 Apr 2023
LASER: A Neuro-Symbolic Framework for Learning Spatial-Temporal Scene Graphs with Weak Supervision Jiani Huang Ziyang Li Mayur Naik Ser-Nam Lim 37 3 0 15 Apr 2023
Habits and goals in synergy: a variational Bayesian framework for behavior Dongqi Han Kenji Doya Dongsheng Li Jun Tani BDL 28 220 0 11 Apr 2023
Scallop: A Language for Neurosymbolic Programming Ziyang Li Jiani Huang Mayur Naik ReLM LRM NAI 24 30 0 10 Apr 2023
On-line reinforcement learning for optimization of real-life energy trading strategy Lukasz Lepak Pawel Wawrzyñski 34 0 0 28 Mar 2023
CelebV-Text: A Large-Scale Facial Text-Video Dataset Jianhui Yu Hao Zhu Liming Jiang Chen Change Loy Weidong (Tom) Cai Wayne Wu 30 56 0 26 Mar 2023
A State Augmentation based approach to Reinforcement Learning from Human Preferences Mudit Verma Subbarao Kambhampati 33 2 0 17 Feb 2023
Policy Evaluation in Decentralized POMDPs with Belief Sharing Mert Kayaalp Fatima Ghadieh Ali H. Sayed 19 2 0 08 Feb 2023
Hierarchically Composing Level Generators for the Creation of Complex Structures Michael Beukman Manuel A. Fokam Marcel Kruger Guy Axelrod Muhammad Umair Nasir Branden Ingram Benjamin Rosman Steven D. James 40 9 0 03 Feb 2023
Partitioning Distributed Compute Jobs with Reinforcement Learning and Graph Neural Networks Christopher W. F. Parsonson Zacharaya Shabka Alessandro Ottino G. Zervas 34 0 0 31 Jan 2023
Hierarchical Programmatic Reinforcement Learning via Learning to Compose Programs Guanhui. Liu En-Pei Hu Pu-Jen Cheng Hung-yi Lee Shao-Hua Sun 74 18 0 30 Jan 2023
Automatic Intrinsic Reward Shaping for Exploration in Deep Reinforcement Learning Mingqi Yuan Bo Li Xin Jin Wenjun Zeng OffRL 29 8 0 26 Jan 2023
Generalization through Diversity: Improving Unsupervised Environment Design Wenjun Li Pradeep Varakantham Dexun Li 33 7 0 19 Jan 2023
Human-Timescale Adaptation in an Open-Ended Task Space Adaptive Agent Team Jakob Bauer Kate Baumli Satinder Baveja Feryal M. P. Behbahani ... Jakub Sygnowski K. Tuyls Sarah York Alexander Zacherl Lei Zhang LM&Ro OffRL AI4CE LRM 38 109 0 18 Jan 2023
Learning Generalizable Representations for Reinforcement Learning via Adaptive Meta-learner of Behavioral Similarities Jianda Chen Sinno Jialin Pan SSL 21 6 0 26 Dec 2022
Decoding surface codes with deep reinforcement learning and probabilistic policy reuse E. S. Matekole Esther Ye Ramya Iyer Samuel Yen-Chi Chen 29 2 0 22 Dec 2022
Pre-Trained Image Encoder for Generalizable Visual Reinforcement Learning Zhecheng Yuan Zhengrong Xue Bo Yuan Xueqian Wang Yi Wu Yang Gao Huazhe Xu SSL OffRL 46 70 0 17 Dec 2022
Policy Adaptation from Foundation Model Feedback Yuying Ge Annabella Macaluso Erran L. Li Ping Luo Xiaolong Wang LM&Ro 27 12 0 14 Dec 2022
Improving generalization in reinforcement learning through forked agents Olivier Moulin Vincent François-Lavet Mark Hoogendoorn AI4CE 28 0 0 13 Dec 2022
Monocular Camera and Single-Beam Sonar-Based Underwater Collision-Free Navigation with Domain Randomization Pengzhi Yang Haowen Liu Monika Roznere Alberto Quattrini Li 22 9 0 08 Dec 2022
Enhanced method for reinforcement learning based dynamic obstacle avoidance by assessment of collision risk Fabian Hart Ostap Okhrin 6 12 0 08 Dec 2022
Melting Pot 2.0 J. Agapiou A. Vezhnevets Edgar A. Duénez-Guzmán Jayd Matyas Yiran Mao ... Sukhdeep Singh Julia Haas Igor Mordatch D. Mobbs Joel Z Leibo 40 31 0 24 Nov 2022
Make-A-Story: Visual Memory Conditioned Consistent Story Generation Tanzila Rahman Hsin-Ying Lee Jian Ren Sergey Tulyakov Shweta Mahajan Leonid Sigal DiffM 19 68 0 23 Nov 2022
Tell Me What Happened: Unifying Text-guided Video Completion via Multimodal Masked Video Generation Tsu-jui Fu Licheng Yu Ning Zhang Cheng-Yang Fu Jong-Chyi Su William Yang Wang Sean Bell VGen 61 37 0 23 Nov 2022
General Intelligence Requires Rethinking Exploration Minqi Jiang Tim Rocktaschel Edward Grefenstette LRM 29 18 0 15 Nov 2022
A taxonomic system for failure cause analysis of open source AI incidents Nikiforos Pittaras Sean McGregor 21 9 0 14 Nov 2022
Deep Reinforcement Learning with Vector Quantized Encoding Liang Zhang Justin Lieffers A. Pyarelal OffRL 18 2 0 12 Nov 2022
ADLight: A Universal Approach of Traffic Signal Control with Augmented Data Using Reinforcement Learning Maonan Wang Yutong Xu Xincheng Xiong Yuheng Kan Chengcheng Xu Man-On Pun 23 7 0 24 Oct 2022
Probing Transfer in Deep Reinforcement Learning without Task Engineering Andrei A. Rusu Sebastian Flennerhag Dushyant Rao Razvan Pascanu R. Hadsell 34 6 0 22 Oct 2022