Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models

30 May 2018

Papers citing "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"

50 / 339 papers shown

Title
Single and Multi-Agent Deep Reinforcement Learning for AI-Enabled Wireless Networks: A Tutorial Amal Feriani Ekram Hossain 40 237 0 06 Nov 2020
Differentiable Physics Models for Real-world Offline Model-based Reinforcement Learning M. Lutter Johannes Silberbauer Joe Watson Jan Peters OffRL 29 33 0 03 Nov 2020
Generative Temporal Difference Learning for Infinite-Horizon Prediction Michael Janner Igor Mordatch Sergey Levine AI4CE 28 34 0 27 Oct 2020
High Acceleration Reinforcement Learning for Real-World Juggling with Binary Rewards Kai Ploeger M. Lutter Jan Peters 22 29 0 26 Oct 2020
Action-Conditional Recurrent Kalman Networks For Forward and Inverse Dynamics Learning Vaisakh Shaj P. Becker Le Chen Harit Pandya Niels van Duijkeren C. J. Taylor Marc Hanheide Gerhard Neumann AI4CE 19 14 0 20 Oct 2020
A Differentiable Newton Euler Algorithm for Multi-body Model Learning M. Lutter Johannes Silberbauer Joe Watson Jan Peters 21 11 0 19 Oct 2020
Model-based Policy Optimization with Unsupervised Model Adaptation Jian Shen Han Zhao Weinan Zhang Yong Yu 37 28 0 19 Oct 2020
Improving Sequential Latent Variable Models with Autoregressive Flows Joseph Marino Lei Chen Jiawei He Stephan Mandt BDL AI4TS 30 12 0 07 Oct 2020
Mastering Atari with Discrete World Models Danijar Hafner Timothy Lillicrap Mohammad Norouzi Jimmy Ba DRL 55 823 0 05 Oct 2020
Heteroscedastic Bayesian Optimisation for Stochastic Model Predictive Control Rel Guzman Rafael Oliveira F. Ramos 29 15 0 01 Oct 2020
Continual Model-Based Reinforcement Learning with Hypernetworks Yizhou Huang Kevin Xie Homanga Bharadhwaj Florian Shkurti CLL 27 46 0 25 Sep 2020
Nonholonomic Yaw Control of an Underactuated Flying Robot with Model-based Reinforcement Learning Nathan Lambert Craig B. Schindler Daniel S. Drew K. Pister 22 6 0 02 Sep 2020
Document-editing Assistants and Model-based Reinforcement Learning as a Path to Conversational AI Katya Kudashkina P. Pilarski R. Sutton KELM 25 6 0 27 Aug 2020
Learning Off-Policy with Online Planning Harshit S. Sikchi Wenxuan Zhou David Held OffRL 39 46 0 23 Aug 2020
Beyond Point Estimate: Inferring Ensemble Prediction Variation from Neuron Activation Strength in Recommender Systems Zhe Chen Yuyan Wang Dong Lin D. Cheng Lichan Hong Ed H. Chi Claire Cui 31 16 0 17 Aug 2020
Sample-efficient Cross-Entropy Method for Real-time Planning Cristina Pinneri Shambhuraj Sawant Sebastian Blaes Jan Achterhold Joerg Stueckler Michal Rolínek Georg Martius 37 98 0 14 Aug 2020
SafePILCO: a software tool for safe and data-efficient policy synthesis Kyriakos Polymenakos Nikitas Rontsis Alessandro Abate Stephen J. Roberts 32 6 0 07 Aug 2020
Towards General and Autonomous Learning of Core Skills: A Case Study in Locomotion Roland Hafner Tim Hertweck Philipp Kloppner Michael Bloesch Michael Neunert Markus Wulfmeier S. Tunyasuvunakool N. Heess Martin Riedmiller 22 19 0 06 Aug 2020
An Iterative LQR Controller for Off-Road and On-Road Vehicles using a Neural Network Dynamics Model Akhil Nagariya Srikanth Saripalli 27 28 0 28 Jul 2020
Predictive Information Accelerates Learning in RL Kuang-Huei Lee Ian S. Fischer Anthony Z. Liu Yijie Guo Honglak Lee John F. Canny S. Guadarrama 23 73 0 24 Jul 2020
Control as Hybrid Inference Alexander Tschantz Beren Millidge A. Seth Christopher L. Buckley 21 9 0 11 Jul 2020
SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning Kimin Lee Michael Laskin A. Srinivas Pieter Abbeel OffRL 25 199 0 09 Jul 2020
Selective Dyna-style Planning Under Limited Model Capacity Zaheer Abbas Samuel Sokota Erin J. Talvitie Martha White 45 32 0 05 Jul 2020
Information Theoretic Regret Bounds for Online Nonlinear Control Sham Kakade A. Krishnamurthy Kendall Lowrey Motoya Ohnishi Wen Sun 38 117 0 22 Jun 2020
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 30 34 0 19 Jun 2020
Learning Invariant Representations for Reinforcement Learning without Reconstruction Amy Zhang R. McAllister Roberto Calandra Y. Gal Sergey Levine OOD SSL 60 464 0 18 Jun 2020
Model Embedding Model-Based Reinforcement Learning Xiao Tan Chao Qu Junwu Xiong James Y. Zhang OffRL 27 0 0 16 Jun 2020
Model-based Adversarial Meta-Reinforcement Learning Zichuan Lin G. Thomas Guangwen Yang Tengyu Ma OOD 29 52 0 16 Jun 2020
Efficient Model-Based Reinforcement Learning through Optimistic Policy Search and Planning Sebastian Curi Felix Berkenkamp Andreas Krause 38 82 0 15 Jun 2020
Maximum Entropy Model Rollouts: Fast Model Based Policy Optimization without Compounding Errors Chi Zhang S. Kuppannagari Viktor Prasanna 22 4 0 08 Jun 2020
Wat zei je? Detecting Out-of-Distribution Translations with Variational Transformers Tim Z. Xiao Aidan Gomez Y. Gal UQLM 17 33 0 08 Jun 2020
PlanGAN: Model-based Planning With Sparse Rewards and Multiple Goals Henry Charlesworth Giovanni Montana OffRL 29 24 0 01 Jun 2020
Model-Augmented Actor-Critic: Backpropagating through Paths I. Clavera Yao Fu Pieter Abbeel 44 87 0 16 May 2020
Context-aware Dynamics Model for Generalization in Model-Based Reinforcement Learning Kimin Lee Younggyo Seo Seunghyun Lee Honglak Lee Jinwoo Shin 45 125 0 14 May 2020
Planning to Explore via Self-Supervised World Models Ramanan Sekar Oleh Rybkin Kostas Daniilidis Pieter Abbeel Danijar Hafner Deepak Pathak SSL 33 401 0 12 May 2020
Delay-Aware Model-Based Reinforcement Learning for Continuous Control Baiming Chen Mengdi Xu Liang-Sheng Li Ding Zhao OffRL 45 63 0 11 May 2020
Reinforcement Learning with Augmented Data Michael Laskin Kimin Lee Adam Stooke Lerrel Pinto Pieter Abbeel A. Srinivas OffRL 20 648 0 30 Apr 2020
Structured Mechanical Models for Robot Learning and Control Jayesh K. Gupta Kunal Menda Zachary Manchester Mykel J. Kochenderfer DRL 26 34 0 21 Apr 2020
Model-Predictive Control via Cross-Entropy and Gradient-Based Optimization Homanga Bharadhwaj Kevin Xie Florian Shkurti 24 49 0 19 Apr 2020
State-Only Imitation Learning for Dexterous Manipulation Ilija Radosavovic Xiaolong Wang Lerrel Pinto Jitendra Malik OffRL 24 122 0 07 Apr 2020
An empirical investigation of the challenges of real-world reinforcement learning Gabriel Dulac-Arnold Nir Levine D. Mankowitz Jerry Li Cosmin Paduraru Sven Gowal Todd Hester OffRL 36 121 0 24 Mar 2020
Learning to Fly via Deep Model-Based Reinforcement Learning Philip Becker-Ehmck Maximilian Karl Jan Peters Patrick van der Smagt SSL 44 37 0 19 Mar 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
PlaNet of the Bayesians: Reconsidering and Improving Deep Planning Network by Incorporating Bayesian Inference Masashi Okada Norio Kosaka T. Taniguchi 13 43 0 01 Mar 2020
Reinforcement Learning through Active Inference Alexander Tschantz Beren Millidge A. Seth Christopher L. Buckley AI4CE 36 69 0 28 Feb 2020
Generalizing Convolutional Neural Networks for Equivariance to Lie Groups on Arbitrary Continuous Data Marc Finzi Samuel Stanton Pavel Izmailov A. Wilson 38 318 0 25 Feb 2020
Learning to Walk in the Real World with Minimal Human Effort Sehoon Ha P. Xu Zhenyu Tan Sergey Levine Jie Tan 31 169 0 20 Feb 2020
Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning Arsenii Ashukha Alexander Lyzhov Dmitry Molchanov Dmitry Vetrov UQCV FedML 38 314 0 15 Feb 2020
Ready Policy One: World Building Through Active Learning Philip J. Ball Jack Parker-Holder Aldo Pacchiano K. Choromanski Stephen J. Roberts OffRL 32 49 0 07 Feb 2020
PAC Confidence Sets for Deep Neural Networks via Calibrated Prediction Sangdon Park Osbert Bastani Nikolai Matni Insup Lee UQCV 152 68 0 31 Dec 2019