Meta Reinforcement Learning with Latent Variable Gaussian Processes

20 March 2018

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

36 / 86 papers shown

Title
Task-Agnostic Online Reinforcement Learning with an Infinite Mixture of Gaussian Processes Mengdi Xu Wenhao Ding Jiacheng Zhu Zuxin Liu Baiming Chen Ding Zhao CLL OffRL 28 34 0 19 Jun 2020
Task-agnostic Exploration in Reinforcement Learning Xuezhou Zhang Yuzhe Ma Adish Singla OffRL 31 49 0 16 Jun 2020
Model-based Adversarial Meta-Reinforcement Learning Zichuan Lin G. Thomas Guangwen Yang Tengyu Ma OOD 27 52 0 16 Jun 2020
Meta-Reinforcement Learning Robust to Distributional Shift via Model Identification and Experience Relabeling Russell Mendonca Xinyang Geng Chelsea Finn Sergey Levine OOD OffRL 32 41 0 12 Jun 2020
Meta-Model-Based Meta-Policy Optimization Takuya Hiraoka Takahisa Imagawa Voot Tangkaratt Takayuki Osa Takashi Onishi Yoshimasa Tsuruoka OffRL 22 9 0 04 Jun 2020
Planning from Images with Deep Latent Gaussian Process Dynamics Nathanael Bosch Jan Achterhold Laura Leal-Taixé J. Stückler 25 1 0 07 May 2020
Fast Online Adaptation in Robotics through Meta-Learning Embeddings of Simulated Priors Rituraj Kaushik Timothée Anne Jean-Baptiste Mouret 32 52 0 10 Mar 2020
HMRL: Hyper-Meta Learning for Sparse Reward Reinforcement Learning Problem Yun Hua Xiangfeng Wang Bo Jin Wenhao Li Junchi Yan Xiaofeng He H. Zha OffRL 24 9 0 11 Feb 2020
Learning State Abstractions for Transfer in Continuous Control Kavosh Asadi David Abel Michael L. Littman OffRL 25 7 0 08 Feb 2020
Generalized Hidden Parameter MDPs Transferable Model-based RL in a Handful of Trials Christian F. Perez F. Such Theofanis Karaletsos 20 36 0 08 Feb 2020
Fleet Control using Coregionalized Gaussian Process Policy Iteration T. Verstraeten Pieter J. K. Libin Ann Nowé 13 7 0 22 Nov 2019
A2: Extracting Cyclic Switchings from DOB-nets for Rejecting Excessive Disturbances Wenjie Lu Dikai Liu 16 0 0 01 Nov 2019
Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning Tianhe Yu Deirdre Quillen Zhanpeng He Ryan Julian Avnish Narayan Hayden Shively Adithya Bellathur Karol Hausman Chelsea Finn Sergey Levine OffRL 101 1,132 0 24 Oct 2019
VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning L. Zintgraf K. Shiarlis Maximilian Igl Sebastian Schulze Y. Gal Katja Hofmann Shimon Whiteson OffRL 16 273 0 18 Oct 2019
Solving Rubik's Cube with a Robot Hand OpenAI Ilge Akkaya Marcin Andrychowicz Maciek Chociej Ma-teusz Litwin ... Peter Welinder Lilian Weng Qiming Yuan Wojciech Zaremba Lei Zhang ODL 37 1,210 0 16 Oct 2019
Towards Deployment of Robust AI Agents for Human-Machine Partnerships Ahana Ghosh Sebastian Tschiatschek Hamed Mahdavi Adish Singla 32 9 0 05 Oct 2019
Causal Induction from Visual Observations for Goal Directed Tasks Sunjay Cauligi Yuke Zhu D. Stefan Tamara Rezk CML LRM 23 63 0 03 Oct 2019
Omnipush: accurate, diverse, real-world dataset of pushing dynamics with RGB-D video Maria Bauzá Ferran Alet Yen-Chen Lin Tomas Lozano-Perez L. Kaelbling Phillip Isola Alberto Rodriguez 25 22 0 01 Oct 2019
MULTIPOLAR: Multi-Source Policy Aggregation for Transfer Reinforcement Learning between Diverse Environmental Dynamics M. Barekatain Ryo Yonetani Masashi Hamaya 40 26 0 28 Sep 2019
Meta-Inverse Reinforcement Learning with Probabilistic Context Variables Lantao Yu Tianhe Yu Chelsea Finn Stefano Ermon OffRL BDL 19 71 0 20 Sep 2019
Environment Probing Interaction Policies Wenxuan Zhou Lerrel Pinto Abhinav Gupta 33 68 0 26 Jul 2019
DOB-Net: Actively Rejecting Unknown Excessive Time-Varying Disturbances Tianming Wang Wenjie Lu Zheng Yan Dikai Liu 51 4 0 10 Jul 2019
Disentangled Skill Embeddings for Reinforcement Learning Janith C. Petangoda Sergio Pascual-Diaz Vincent Adam Peter Vrancx Jordi Grau-Moya DRL OffRL 29 15 0 21 Jun 2019
Watch, Try, Learn: Meta-Learning from Demonstrations and Reward Allan Zhou Eric Jang Daniel Kappler Alexander Herzog Mohi Khansari Paul Wohlhart Yunfei Bai Mrinal Kalakrishnan Sergey Levine Chelsea Finn 37 50 0 07 Jun 2019
Deep Gaussian Processes with Importance-Weighted Variational Inference Hugh Salimbeni Vincent Dutordoir J. Hensman M. Deisenroth BDL 23 43 0 14 May 2019
Guided Meta-Policy Search Russell Mendonca Abhishek Gupta Rosen Kralev Pieter Abbeel Sergey Levine Chelsea Finn 19 57 0 01 Apr 2019
Meta-Learning surrogate models for sequential decision making Alexandre Galashov Jonathan Richard Schwarz Hyunjik Kim M. Garnelo D. Saxton Pushmeet Kohli S. M. Ali Eslami Yee Whye Teh BDL OffRL 28 26 0 28 Mar 2019
Efficient Off-Policy Meta-Reinforcement Learning via Probabilistic Context Variables Kate Rakelly Aurick Zhou Deirdre Quillen Chelsea Finn Sergey Levine OffRL 48 650 0 19 Mar 2019
NoRML: No-Reward Meta Learning Yuxiang Yang Ken Caluwaerts Atil Iscen Jie Tan Chelsea Finn 22 27 0 04 Mar 2019
Assessing Generalization in Deep Reinforcement Learning Charles Packer Katelyn Gao Jernej Kos Philipp Krahenbuhl V. Koltun D. Song OffRL 18 233 0 29 Oct 2018
ProMP: Proximal Meta-Policy Search Jonas Rothfuss Dennis Lee I. Clavera Tamim Asfour Pieter Abbeel 35 209 0 16 Oct 2018
Fast Context Adaptation via Meta-Learning L. Zintgraf K. Shiarlis Vitaly Kurin Katja Hofmann Shimon Whiteson 18 37 0 08 Oct 2018
Simulator Predictive Control: Using Learned Task Representations and MPC for Zero-Shot Generalization and Sequencing Zhanpeng He Ryan Julian Eric Heiden Hejia Zhang S. Schaal Joseph J. Lim Gaurav Sukhatme Karol Hausman 27 15 0 04 Oct 2018
A survey on policy search algorithms for learning robot controllers in a handful of trials Konstantinos Chatzilygeroudis Vassilis Vassiliades F. Stulp Sylvain Calinon Jean-Baptiste Mouret 17 155 0 06 Jul 2018
Learning to Adapt in Dynamic, Real-World Environments Through Meta-Reinforcement Learning Anusha Nagabandi I. Clavera Simin Liu R. Fearing Pieter Abbeel Sergey Levine Chelsea Finn 21 537 0 30 Mar 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 496 11,727 0 09 Mar 2017