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RL-X: A Deep Reinforcement Learning Library (not only) for RoboCup

RL-X: A Deep Reinforcement Learning Library (not only) for RoboCup

20 October 2023
Nico Bohlinger
Klaus Dorer
ArXivPDFHTML

Papers citing "RL-X: A Deep Reinforcement Learning Library (not only) for RoboCup"

10 / 10 papers shown
Title
One Policy to Run Them All: an End-to-end Learning Approach to Multi-Embodiment Locomotion
One Policy to Run Them All: an End-to-end Learning Approach to Multi-Embodiment Locomotion
Nico Bohlinger
Grzegorz Czechmanowski
Maciej Krupka
Piotr Kicki
Krzysztof Walas
Jan Peters
Davide Tateo
75
20
0
10 Sep 2024
You May Not Need Ratio Clipping in PPO
You May Not Need Ratio Clipping in PPO
Mingfei Sun
Vitaly Kurin
Guoqing Liu
Sam Devlin
Tao Qin
Katja Hofmann
Shimon Whiteson
33
16
0
31 Jan 2022
Aggressive Q-Learning with Ensembles: Achieving Both High Sample
  Efficiency and High Asymptotic Performance
Aggressive Q-Learning with Ensembles: Achieving Both High Sample Efficiency and High Asymptotic Performance
Yanqiu Wu
Xinyue Chen
Che Wang
Yiming Zhang
George Andriopoulos
OffRL
29
8
0
17 Nov 2021
Muesli: Combining Improvements in Policy Optimization
Muesli: Combining Improvements in Policy Optimization
Matteo Hessel
Ivo Danihelka
Fabio Viola
A. Guez
Simon Schmitt
Laurent Sifre
T. Weber
David Silver
H. V. Hasselt
64
66
0
13 Apr 2021
Acme: A Research Framework for Distributed Reinforcement Learning
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
108
226
0
01 Jun 2020
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
228
191
0
08 May 2020
DeepMind Control Suite
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
127
1,133
0
02 Jan 2018
Proximal Policy Optimization Algorithms
Proximal Policy Optimization Algorithms
John Schulman
Filip Wolski
Prafulla Dhariwal
Alec Radford
Oleg Klimov
OffRL
444
18,931
0
20 Jul 2017
TensorFlow: A system for large-scale machine learning
TensorFlow: A system for large-scale machine learning
Martín Abadi
P. Barham
Jianmin Chen
Zhiwen Chen
Andy Davis
...
Vijay Vasudevan
Pete Warden
Martin Wicke
Yuan Yu
Xiaoqiang Zhang
GNN
AI4CE
417
18,334
0
27 May 2016
The Arcade Learning Environment: An Evaluation Platform for General
  Agents
The Arcade Learning Environment: An Evaluation Platform for General Agents
Marc G. Bellemare
Yavar Naddaf
J. Veness
Michael Bowling
109
3,002
0
19 Jul 2012
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