Differentially Encoded Observation Spaces for Perceptive Reinforcement Learning

3 October 2023

Papers citing "Differentially Encoded Observation Spaces for Perceptive Reinforcement Learning"

21 / 21 papers shown

Title
Just Round: Quantized Observation Spaces Enable Memory Efficient Learning of Dynamic Locomotion Lev Grossman Brian Plancher MQ 46 4 0 14 Oct 2022
DayDreamer: World Models for Physical Robot Learning Philipp Wu Alejandro Escontrela Danijar Hafner Ken Goldberg Pieter Abbeel 110 299 0 28 Jun 2022
Learning robust perceptive locomotion for quadrupedal robots in the wild Takahiro Miki Joonho Lee Jemin Hwangbo Lorenz Wellhausen V. Koltun Marco Hutter 133 711 0 20 Jan 2022
Learning Representations for Pixel-based Control: What Matters and Why? Manan Tomar Utkarsh Aashu Mishra Amy Zhang Matthew E. Taylor SSL OffRL 79 26 0 15 Nov 2021
Mastering Visual Continuous Control: Improved Data-Augmented Reinforcement Learning Denis Yarats Rob Fergus A. Lazaric Lerrel Pinto OffRL 106 350 0 20 Jul 2021
Mastering Atari with Discrete World Models Danijar Hafner Timothy Lillicrap Mohammad Norouzi Jimmy Ba DRL 123 869 0 05 Oct 2020
Reinforcement Learning with Augmented Data Michael Laskin Kimin Lee Adam Stooke Lerrel Pinto Pieter Abbeel A. Srinivas OffRL 91 660 0 30 Apr 2020
Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels Ilya Kostrikov Denis Yarats Rob Fergus OffRL 116 793 0 28 Apr 2020
CURL: Contrastive Unsupervised Representations for Reinforcement Learning A. Srinivas Michael Laskin Pieter Abbeel SSL DRL OffRL 100 1,092 0 08 Apr 2020
Dota 2 with Large Scale Deep Reinforcement Learning OpenAI OpenAI : Christopher Berner Greg Brockman Brooke Chan ... Szymon Sidor Ilya Sutskever Jie Tang Filip Wolski Susan Zhang GNN VLM CLL AI4CE LRM 169 1,838 0 13 Dec 2019
Model-Based Reinforcement Learning for Atari Lukasz Kaiser Mohammad Babaeizadeh Piotr Milos B. Osinski R. Campbell ... Sergey Levine Afroz Mohiuddin Ryan Sepassi George Tucker Henryk Michalewski OffRL 142 868 0 01 Mar 2019
Learning Latent Dynamics for Planning from Pixels Danijar Hafner Timothy Lillicrap Ian S. Fischer Ruben Villegas David R Ha Honglak Lee James Davidson BDL 92 1,448 0 12 Nov 2018
Learning Dexterous In-Hand Manipulation OpenAI OpenAI Marcin Andrychowicz Bowen Baker Maciek Chociej Rafal Jozefowicz ... Szymon Sidor Joshua Tobin Peter Welinder Lilian Weng Wojciech Zaremba 163 1,884 0 01 Aug 2018
DeepMind Control Suite Yuval Tassa Yotam Doron Alistair Muldal Tom Erez Yazhe Li ... A. Abdolmaleki J. Merel Andrew Lefrancq Timothy Lillicrap Martin Riedmiller ELM LM&Ro BDL 150 1,143 0 02 Jan 2018
Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm David Silver Thomas Hubert Julian Schrittwieser Ioannis Antonoglou Matthew Lai ... D. Kumaran T. Graepel Timothy Lillicrap Karen Simonyan Demis Hassabis 153 1,782 0 05 Dec 2017
Distributional Reinforcement Learning with Quantile Regression Will Dabney Mark Rowland Marc G. Bellemare Rémi Munos 94 764 0 27 Oct 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 544 19,296 0 20 Jul 2017
Prioritized Experience Replay Tom Schaul John Quan Ioannis Antonoglou David Silver OffRL 231 3,797 0 18 Nov 2015
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 327 13,289 0 09 Sep 2015
Playing Atari with Deep Reinforcement Learning Volodymyr Mnih Koray Kavukcuoglu David Silver Alex Graves Ioannis Antonoglou Daan Wierstra Martin Riedmiller 129 12,269 0 19 Dec 2013
The Arcade Learning Environment: An Evaluation Platform for General Agents Marc G. Bellemare Yavar Naddaf J. Veness Michael Bowling 120 3,021 0 19 Jul 2012