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Distilling Reinforcement Learning Policies for Interpretable Robot
  Locomotion: Gradient Boosting Machines and Symbolic Regression

Distilling Reinforcement Learning Policies for Interpretable Robot Locomotion: Gradient Boosting Machines and Symbolic Regression

21 March 2024
Fernando Acero
Zhibin Li
    OffRL
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Papers citing "Distilling Reinforcement Learning Policies for Interpretable Robot Locomotion: Gradient Boosting Machines and Symbolic Regression"

5 / 5 papers shown
Title
Interpretable Machine Learning for Science with PySR and
  SymbolicRegression.jl
Interpretable Machine Learning for Science with PySR and SymbolicRegression.jl
M. Cranmer
41
39
0
02 May 2023
Learning Perceptual Locomotion on Uneven Terrains using Sparse Visual
  Observations
Learning Perceptual Locomotion on Uneven Terrains using Sparse Visual Observations
Fernando Acero
Kai Yuan
Zhibin Li
33
5
0
28 Sep 2021
Learning Vision-Guided Dynamic Locomotion Over Challenging Terrains
Learning Vision-Guided Dynamic Locomotion Over Challenging Terrains
Zhaocheng Liu
Fernando Acero
Zhibin Li
14
2
0
09 Sep 2021
XAI-N: Sensor-based Robot Navigation using Expert Policies and Decision
  Trees
XAI-N: Sensor-based Robot Navigation using Expert Policies and Decision Trees
Aaron M. Roth
Jing Liang
Dinesh Manocha
33
8
0
22 Apr 2021
Multi-expert learning of adaptive legged locomotion
Multi-expert learning of adaptive legged locomotion
Chuanyu Yang
Kai Yuan
Qiuguo Zhu
Wanming Yu
Zhibin Li
103
183
0
10 Dec 2020
1