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FastTD3: Simple, Fast, and Capable Reinforcement Learning for Humanoid Control
v1v2v3 (latest)

FastTD3: Simple, Fast, and Capable Reinforcement Learning for Humanoid Control

28 May 2025
Younggyo Seo
Carmelo Sferrazza
Haoran Geng
Michal Nauman
Zhao-Heng Yin
Pieter Abbeel
    OffRL
ArXiv (abs)PDFHTMLHuggingFace (3 upvotes)

Papers citing "FastTD3: Simple, Fast, and Capable Reinforcement Learning for Humanoid Control"

9 / 9 papers shown
Title
DreamControl: Human-Inspired Whole-Body Humanoid Control for Scene Interaction via Guided Diffusion
DreamControl: Human-Inspired Whole-Body Humanoid Control for Scene Interaction via Guided Diffusion
Dvij Kalaria
Sudarshan Harithas
Pushkal Katara
Sangkyung Kwak
Sarthak Bhagat
S. Shankar Sastry
Srinath Sridhar
Sai H. Vemprala
Ashish Kapoor
Jonathan Huang
20
0
0
17 Sep 2025
floq: Training Critics via Flow-Matching for Scaling Compute in Value-Based RL
floq: Training Critics via Flow-Matching for Scaling Compute in Value-Based RL
Bhavya Agrawalla
Michal Nauman
Khush Agarwal
Aviral Kumar
OffRL
20
0
0
08 Sep 2025
Relative Entropy Pathwise Policy Optimization
Relative Entropy Pathwise Policy Optimization
C. Voelcker
Axel Brunnbauer
Marcel Hussing
Michal Nauman
Pieter Abbeel
Eric Eaton
Radu Grosu
Amir-massoud Farahmand
Igor Gilitschenski
99
0
0
15 Jul 2025
TDMPBC: Self-Imitative Reinforcement Learning for Humanoid Robot Control
TDMPBC: Self-Imitative Reinforcement Learning for Humanoid Robot Control
Zifeng Zhuang
Diyuan Shi
Runze Suo
Xiao He
Hongyin Zhang
Ting Wang
Shangke Lyu
Donglin Wang
109
1
0
24 Feb 2025
MuJoCo Playground
MuJoCo Playground
Kevin Zakka
B. Tabanpour
Qiayuan Liao
Mustafa Haiderbhai
Samuel Holt
...
Koushil Sreenath
Lueder A. Kahrs
Carmelo Sferrazza
Yuval Tassa
Pieter Abbeel
198
29
0
12 Feb 2025
Towards General-Purpose Model-Free Reinforcement Learning
Scott Fujimoto
P. DÓro
Amy Zhang
Yuandong Tian
Michael Rabbat
OffRL
142
17
0
28 Jan 2025
SimBa: Simplicity Bias for Scaling Up Parameters in Deep Reinforcement Learning
SimBa: Simplicity Bias for Scaling Up Parameters in Deep Reinforcement Learning
Hojoon Lee
Dongyoon Hwang
Donghu Kim
Hyunseung Kim
Jun Jet Tai
K. Subramanian
Peter R. Wurman
Jaegul Choo
Peter Stone
Takuma Seno
OffRL
255
32
0
13 Oct 2024
MAD-TD: Model-Augmented Data stabilizes High Update Ratio RL
MAD-TD: Model-Augmented Data stabilizes High Update Ratio RL
C. Voelcker
Marcel Hussing
Eric Eaton
Amir-massoud Farahmand
Igor Gilitschenski
210
8
0
11 Oct 2024
Simplifying Deep Temporal Difference Learning
Simplifying Deep Temporal Difference Learning
Matteo Gallici
Mattie Fellows
Benjamin Ellis
B. Pou
Ivan Masmitja
Jakob Foerster
Mario Martin
OffRL
287
43
0
05 Jul 2024
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