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RLtools: A Fast, Portable Deep Reinforcement Learning Library for
  Continuous Control

RLtools: A Fast, Portable Deep Reinforcement Learning Library for Continuous Control

6 June 2023
Jonas Eschmann
Dario Albani
Giuseppe Loianno
    OffRL
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Papers citing "RLtools: A Fast, Portable Deep Reinforcement Learning Library for Continuous Control"

4 / 4 papers shown
Title
Learning to Walk in Minutes Using Massively Parallel Deep Reinforcement
  Learning
Learning to Walk in Minutes Using Massively Parallel Deep Reinforcement Learning
N. Rudin
David Hoeller
Philipp Reist
Marco Hutter
113
544
0
24 Sep 2021
Learning-based Bias Correction for Time Difference of Arrival
  Ultra-wideband Localization of Resource-constrained Mobile Robots
Learning-based Bias Correction for Time Difference of Arrival Ultra-wideband Localization of Resource-constrained Mobile Robots
Wenda Zhao
Jacopo Panerati
Angela P. Schoellig
24
43
0
02 Mar 2021
Controlling Overestimation Bias with Truncated Mixture of Continuous
  Distributional Quantile Critics
Controlling Overestimation Bias with Truncated Mixture of Continuous Distributional Quantile Critics
Arsenii Kuznetsov
Pavel Shvechikov
Alexander Grishin
Dmitry Vetrov
136
185
0
08 May 2020
Emergence of Locomotion Behaviours in Rich Environments
Emergence of Locomotion Behaviours in Rich Environments
N. Heess
TB Dhruva
S. Sriram
Jay Lemmon
J. Merel
...
Tom Erez
Ziyun Wang
S. M. Ali Eslami
Martin Riedmiller
David Silver
131
928
0
07 Jul 2017
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