Meta Reinforcement Learning with Latent Variable Gaussian Processes

20 March 2018

Papers citing "Meta Reinforcement Learning with Latent Variable Gaussian Processes"

50 / 86 papers shown

Title
Learning Attentive Neural Processes for Planning with Pushing Actions Atharv Jain Seiji Shaw Nicholas Roy 216 0 0 24 Apr 2025
Improving Controller Generalization with Dimensionless Markov Decision Processes V. Charvet Sebastian Stein R. Murray-Smith 39 0 0 14 Apr 2025
Distilling Reinforcement Learning Algorithms for In-Context Model-Based Planning Jaehyeon Son Soochan Lee Gunhee Kim OffRL 84 1 0 26 Feb 2025
Systems with Switching Causal Relations: A Meta-Causal Perspective Moritz Willig Tim Nelson Tobiasch Florian Peter Busch Jonas Seng Devendra Singh Dhami Kristian Kersting CML 48 0 0 16 Oct 2024
Meta-Evolve: Continuous Robot Evolution for One-to-many Policy Transfer Xingyu Liu Deepak Pathak Ding Zhao 39 6 0 06 May 2024
On Task-Relevant Loss Functions in Meta-Reinforcement Learning and Online LQR Jaeuk Shin Giho Kim Howon Lee Joonho Han Insoon Yang OffRL 41 1 0 09 Dec 2023
Data-Efficient Task Generalization via Probabilistic Model-based Meta Reinforcement Learning Arjun Bhardwaj Jonas Rothfuss Bhavya Sukhija Yarden As Marco Hutter Stelian Coros Andreas Krause 32 5 0 13 Nov 2023
Episodic Multi-Task Learning with Heterogeneous Neural Processes Jiayi Shen Xiantong Zhen Qi Qi Wang M. Worring 32 11 0 28 Oct 2023
How Simulation Helps Autonomous Driving:A Survey of Sim2real, Digital Twins, and Parallel Intelligence Xuemin Hu Shen Li Ting Huang Bo Tang Rouxing Huai Long Chen 54 65 0 02 May 2023
Learning How to Infer Partial MDPs for In-Context Adaptation and Exploration Chentian Jiang Nan Rosemary Ke Hado van Hasselt 16 3 0 08 Feb 2023
A Survey of Meta-Reinforcement Learning Jacob Beck Risto Vuorio E. Liu Zheng Xiong L. Zintgraf Chelsea Finn Shimon Whiteson OOD OffRL 42 124 0 19 Jan 2023
Bayesian Multi-Task Learning MPC for Robotic Mobile Manipulation Elena Arcari M. Minniti Anna Scampicchio Andrea Carron Farbod Farshidian Marco Hutter Melanie Zeilinger 22 29 0 18 Nov 2022
Adapting Neural Models with Sequential Monte Carlo Dropout Pamela Carreno-Medrano Dana Kulić Michael G. Burke 30 4 0 27 Oct 2022
Continual Vision-based Reinforcement Learning with Group Symmetries Shiqi Liu Mengdi Xu Piede Huang Yongkang Liu K. Oguchi Ding Zhao CLL VLM 51 11 0 21 Oct 2022
Robotic Control Using Model Based Meta Adaption Karam Daaboul Joel Ikels Marius Zöllner 47 2 0 07 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 79 45 0 16 Sep 2022
A model-based approach to meta-Reinforcement Learning: Transformers and tree search Brieuc Pinon Jean-Charles Delvenne Raphaël Jungers OffRL 37 3 0 24 Aug 2022
Hidden Parameter Recurrent State Space Models For Changing Dynamics Scenarios Vaisakh Shaj Le Chen Rohit Sonker P. Becker Gerhard Neumann 40 8 0 29 Jun 2022
A Relational Intervention Approach for Unsupervised Dynamics Generalization in Model-Based Reinforcement Learning J. Guo Biwei Huang Dacheng Tao 15 20 0 09 Jun 2022
Online No-regret Model-Based Meta RL for Personalized Navigation Yuda Song Ye Yuan Wen Sun Kris Kitani 44 0 0 05 Apr 2022
CoMPS: Continual Meta Policy Search Glen Berseth Zhiwei Zhang Grace Zhang Chelsea Finn Sergey Levine CLL OffRL 30 16 0 08 Dec 2021
MESA: Offline Meta-RL for Safe Adaptation and Fault Tolerance Michael Luo Ashwin Balakrishna Brijen Thananjeyan Suraj Nair Julian Ibarz Jie Tan Chelsea Finn Ion Stoica Ken Goldberg OffRL 38 4 0 07 Dec 2021
$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 48 8 0 03 Dec 2021
Robust and Adaptive Temporal-Difference Learning Using An Ensemble of Gaussian Processes Qin Lu G. Giannakis GP OffRL 16 4 0 01 Dec 2021
Conditioning Sparse Variational Gaussian Processes for Online Decision-making Wesley J. Maddox Samuel Stanton A. Wilson 32 28 0 28 Oct 2021
Learning Robust Controllers Via Probabilistic Model-Based Policy Search V. Charvet B. S. Jensen R. Murray-Smith 19 2 0 26 Oct 2021
Bayesian Meta-Learning Through Variational Gaussian Processes Vivek Myers Nikhil Sardana BDL UQCV 11 4 0 21 Oct 2021
Infusing model predictive control into meta-reinforcement learning for mobile robots in dynamic environments Jaeuk Shin A. Hakobyan Mingyu Park Yeoneung Kim Gihun Kim Insoon Yang 37 10 0 15 Sep 2021
Learning to Transfer: A Foliated Theory Janith C. Petangoda M. Deisenroth N. Monk 23 0 0 22 Jul 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 37 0 0 04 Jun 2021
MetaKernel: Learning Variational Random Features with Limited Labels Yingjun Du Haoliang Sun Xiantong Zhen Jun Xu Yilong Yin Ling Shao Cees G. M. Snoek VLM BDL 15 5 0 08 May 2021
Adaptive Adversarial Training for Meta Reinforcement Learning Shiqi Chen Zhengyu Chen Donglin Wang 32 6 0 27 Apr 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
Improving Context-Based Meta-Reinforcement Learning with Self-Supervised Trajectory Contrastive Learning Bernie Wang Si-ting Xu Kurt Keutzer Yang Gao Bichen Wu SSL OffRL 34 7 0 10 Mar 2021
Deep reinforcement learning in medical imaging: A literature review S. Kevin Zhou Hoang Ngan Le Khoa Luu Hien V Nguyen N. Ayache LM&MA OffRL MedIm 29 146 0 05 Mar 2021
Explore the Context: Optimal Data Collection for Context-Conditional Dynamics Models Jan Achterhold Joerg Stueckler 27 7 0 22 Feb 2021
Model-based Meta Reinforcement Learning using Graph Structured Surrogate Models Q. Wang H. V. Hoof OffRL 27 20 0 16 Feb 2021
PerSim: Data-Efficient Offline Reinforcement Learning with Heterogeneous Agents via Personalized Simulators Anish Agarwal Abdullah Alomar Varkey Alumootil Devavrat Shah Dennis Shen Zhi Xu Cindy Yang OffRL 18 18 0 13 Feb 2021
Meta-Reinforcement Learning for Adaptive Motor Control in Changing Robot Dynamics and Environments Timothée Anne Jack Wilkinson Zhibin Li 26 1 0 19 Jan 2021
Context-Aware Safe Reinforcement Learning for Non-Stationary Environments Baiming Chen Zuxin Liu Jiacheng Zhu Mengdi Xu Wenhao Ding Ding Zhao 25 35 0 02 Jan 2021
Information-theoretic Task Selection for Meta-Reinforcement Learning Ricardo Luna Gutierrez Matteo Leonetti 29 19 0 02 Nov 2020
Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning Younggyo Seo Kimin Lee I. Clavera Thanard Kurutach Jinwoo Shin Pieter Abbeel 23 36 0 26 Oct 2020
Complementary Meta-Reinforcement Learning for Fault-Adaptive Control Ibrahim Ahmed Marcos Quiñones-Grueiro G. Biswas 19 8 0 26 Sep 2020
Cautious Adaptation For Reinforcement Learning in Safety-Critical Settings Jesse Zhang Brian Cheung Chelsea Finn Sergey Levine Dinesh Jayaraman 23 58 0 15 Aug 2020
Offline Meta-Reinforcement Learning with Advantage Weighting E. Mitchell Rafael Rafailov Xue Bin Peng Sergey Levine Chelsea Finn OffRL 38 104 0 13 Aug 2020
Meta Learning MPC using Finite-Dimensional Gaussian Process Approximations Elena Arcari Andrea Carron Melanie Zeilinger 15 14 0 13 Aug 2020
Decoupling Exploration and Exploitation for Meta-Reinforcement Learning without Sacrifices E. Liu Aditi Raghunathan Percy Liang Chelsea Finn OffRL 22 66 0 06 Aug 2020
A Foliated View of Transfer Learning Janith C. Petangoda Nick A. M. Monk M. Deisenroth 35 3 0 02 Aug 2020
IntelligentPooling: Practical Thompson Sampling for mHealth Sabina Tomkins Peng Liao P. Klasnja S. Murphy 39 30 0 31 Jul 2020
Probabilistic Active Meta-Learning Jean Kaddour Steindór Sæmundsson M. Deisenroth 27 34 0 17 Jul 2020