Data augmentation for efficient learning from parametric experts

Data augmentation for efficient learning from parametric experts

23 May 2022

Alexandre Galashov

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Papers citing "Data augmentation for efficient learning from parametric experts"

17 / 17 papers shown

Title
Efficient Transformers in Reinforcement Learning using Actor-Learner Distillation Emilio Parisotto Ruslan Salakhutdinov 84 45 0 04 Apr 2021
Behavior Priors for Efficient Reinforcement Learning Dhruva Tirumala Alexandre Galashov Hyeonwoo Noh Leonard Hasenclever Razvan Pascanu ... Guillaume Desjardins Wojciech M. Czarnecki Arun Ahuja Yee Whye Teh N. Heess 91 40 0 27 Oct 2020
dm_control: Software and Tasks for Continuous Control Yuval Tassa S. Tunyasuvunakool Alistair Muldal Yotam Doron Piotr Trochim ... Steven Bohez J. Merel Tom Erez Timothy Lillicrap N. Heess LM&Ro 91 416 0 22 Jun 2020
Acme: A Research Framework for Distributed Reinforcement Learning Matthew W. Hoffman Bobak Shahriari John Aslanides Gabriel Barth-Maron Nikola Momchev ... Srivatsan Srinivasan A. Cowie Ziyun Wang Bilal Piot Nando de Freitas 110 226 0 01 Jun 2020
Reinforcement Learning with Augmented Data Michael Laskin Kimin Lee Adam Stooke Lerrel Pinto Pieter Abbeel A. Srinivas OffRL 87 660 0 30 Apr 2020
Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels Ilya Kostrikov Denis Yarats Rob Fergus OffRL 96 791 0 28 Apr 2020
V-MPO: On-Policy Maximum a Posteriori Policy Optimization for Discrete and Continuous Control H. F. Song A. Abdolmaleki Jost Tobias Springenberg Aidan Clark Hubert Soyer ... Dhruva Tirumala N. Heess Dan Belov Martin Riedmiller M. Botvinick 80 124 0 26 Sep 2019
Conditional Vehicle Trajectories Prediction in CARLA Urban Environment Thibault Buhet É. Wirbel Xavier Perrotton 58 13 0 02 Sep 2019
Information asymmetry in KL-regularized RL Alexandre Galashov Siddhant M. Jayakumar Leonard Hasenclever Dhruva Tirumala Jonathan Richard Schwarz Guillaume Desjardins Wojciech M. Czarnecki Yee Whye Teh Razvan Pascanu N. Heess OffRL 59 102 0 03 May 2019
Imitation Learning for End to End Vehicle Longitudinal Control with Forward Camera Laurent George Thibault Buhet É. Wirbel Gaetan Le-Gall Xavier Perrotton 39 16 0 14 Dec 2018
Neural probabilistic motor primitives for humanoid control J. Merel Leonard Hasenclever Alexandre Galashov Arun Ahuja Vu Pham Greg Wayne Yee Whye Teh N. Heess 78 160 0 28 Nov 2018
Maximum a Posteriori Policy Optimisation A. Abdolmaleki Jost Tobias Springenberg Yuval Tassa Rémi Munos N. Heess Martin Riedmiller 71 477 0 14 Jun 2018
Kickstarting Deep Reinforcement Learning Simon Schmitt Jonathan J. Hudson Augustin Žídek Simon Osindero Carl Doersch ... Joel Z Leibo Heinrich Küttler Andrew Zisserman Karen Simonyan S. M. Ali Eslami OnRL 60 132 0 10 Mar 2018
Distral: Robust Multitask Reinforcement Learning Yee Whye Teh V. Bapst Wojciech M. Czarnecki John Quan J. Kirkpatrick R. Hadsell N. Heess Razvan Pascanu 161 553 0 13 Jul 2017
DART: Noise Injection for Robust Imitation Learning Michael Laskey Jonathan Lee Roy Fox Anca Dragan Ken Goldberg 191 247 0 27 Mar 2017
End to End Learning for Self-Driving Cars Mariusz Bojarski D. Testa Daniel Dworakowski Bernhard Firner B. Flepp ... Urs Muller Jiakai Zhang Xin Zhang Jake Zhao Karol Zieba SSL 100 4,170 0 25 Apr 2016
A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning Stéphane Ross Geoffrey J. Gordon J. Andrew Bagnell OffRL 224 3,221 0 02 Nov 2010