Task-Agnostic Online Reinforcement Learning with an Infinite Mixture of Gaussian Processes

19 June 2020

Ding Zhao

Papers citing "Task-Agnostic Online Reinforcement Learning with an Infinite Mixture of Gaussian Processes"

23 / 23 papers shown

Title
Combining Bayesian Inference and Reinforcement Learning for Agent Decision Making: A Review Chengmin Zhou Ville Kyrki P. Fränti Laura Ruotsalainen BDL AI4CE 42 0 0 12 May 2025
On the Design of Safe Continual RL Methods for Control of Nonlinear Systems Austin Coursey Marcos Quiñones-Grueiro Gautam Biswas 36 0 0 21 Feb 2025
Bayesian inference for data-efficient, explainable, and safe robotic motion planning: A review Chengmin Zhou Chao Wang Haseeb Hassan H. Shah Bingding Huang P. Fränti 3DV 38 3 0 16 Jul 2023
Replay Buffer with Local Forgetting for Adapting to Local Environment Changes in Deep Model-Based Reinforcement Learning Ali Rahimi-Kalahroudi Janarthanan Rajendran Ida Momennejad H. V. Seijen Sarath Chandar CLL KELM 31 2 0 15 Mar 2023
Online Reinforcement Learning in Non-Stationary Context-Driven Environments Pouya Hamadanian Arash Nasr-Esfahany Malte Schwarzkopf Siddartha Sen MohammadIman Alizadeh CLL OffRL 45 0 0 04 Feb 2023
Building a Subspace of Policies for Scalable Continual Learning Jean-Baptiste Gaya T. Doan Lucas Page-Caccia Laure Soulier Ludovic Denoyer Roberta Raileanu CLL 29 29 0 18 Nov 2022
Continual Vision-based Reinforcement Learning with Group Symmetries Shiqi Liu Mengdi Xu Piede Huang Yongkang Liu K. Oguchi Ding Zhao CLL VLM 40 10 0 21 Oct 2022
Group Distributionally Robust Reinforcement Learning with Hierarchical Latent Variables Mengdi Xu Peide Huang Yaru Niu Visak C. V. Kumar Jielin Qiu ... Kuan-Hui Lee Xuewei Qi H. Lam Bo-wen Li Ding Zhao OOD 54 9 0 21 Oct 2022
Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation Peide Huang Mengdi Xu Jiacheng Zhu Laixi Shi Fei Fang Ding Zhao CLL 35 24 0 18 Oct 2022
Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities: Robustness, Safety, and Generalizability Mengdi Xu Zuxin Liu Peide Huang Wenhao Ding Zhepeng Cen Bo-wen Li Ding Zhao 71 45 0 16 Sep 2022
Task-Agnostic Continual Reinforcement Learning: Gaining Insights and Overcoming Challenges Massimo Caccia Jonas W. Mueller Taesup Kim Laurent Charlin Rasool Fakoor CLL 22 8 0 28 May 2022
Modeling Human Behavior Part I -- Learning and Belief Approaches Andrew Fuchs A. Passarella M. Conti 27 7 0 13 May 2022
Robust Reinforcement Learning as a Stackelberg Game via Adaptively-Regularized Adversarial Training Peide Huang Mengdi Xu Fei Fang Ding Zhao 77 37 0 19 Feb 2022
Reinforcement Learning in Presence of Discrete Markovian Context Evolution Hang Ren Aivar Sootla Taher Jafferjee Junxiao Shen Jun Wang Haitham Bou-Ammar BDL OffRL 19 9 0 14 Feb 2022
$Improving the Robustness of Reinforcement Learning Policies with $\mathcal{L}_{1}$ Adaptive Control$ Improving the Robustness of Reinforcement Learning Policies with $\mathcal{L}_{1}$ Adaptive Control Y. Cheng Penghui Zhao F. Wang D. Block N. Hovakimyan 42 8 0 03 Dec 2021
Global Convolutional Neural Processes Xuesong Wang Lina Yao Xianzhi Wang Hye-Young Paik Sen Wang BDL AI4CE 22 4 0 02 Sep 2021
Robustifying Reinforcement Learning Policies with $\mathcal{L}_1$ Adaptive Control Yikun Cheng Pan Zhao Manan S. Gandhi Bo-wen Li Evangelos Theodorou N. Hovakimyan OffRL 27 0 0 04 Jun 2021
Continuous Coordination As a Realistic Scenario for Lifelong Learning Hadi Nekoei Akilesh Badrinaaraayanan Aaron Courville Sarath Chandar CLL OffRL 19 40 0 04 Mar 2021
Functional optimal transport: map estimation and domain adaptation for functional data Jiacheng Zhu Aritra Guha Dat Do Mengdi Xu X. Nguyen Ding Zhao OT 24 7 0 07 Feb 2021
Context-Aware Safe Reinforcement Learning for Non-Stationary Environments Baiming Chen Zuxin Liu Jiacheng Zhu Mengdi Xu Wenhao Ding Ding Zhao 17 35 0 02 Jan 2021
Constrained Model-based Reinforcement Learning with Robust Cross-Entropy Method Zuxin Liu Hongyi Zhou Baiming Chen Sicheng Zhong M. Hebert Ding Zhao 8 11 0 15 Oct 2020
Continual Model-Based Reinforcement Learning with Hypernetworks Yizhou Huang Kevin Xie Homanga Bharadhwaj Florian Shkurti CLL 6 46 0 25 Sep 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 317 11,681 0 09 Mar 2017