Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2403.14328
Cited By
Distilling Reinforcement Learning Policies for Interpretable Robot Locomotion: Gradient Boosting Machines and Symbolic Regression
21 March 2024
Fernando Acero
Zhibin Li
OffRL
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Distilling Reinforcement Learning Policies for Interpretable Robot Locomotion: Gradient Boosting Machines and Symbolic Regression"
13 / 13 papers shown
Title
Hierarchical generative modelling for autonomous robots
Kai Yuan
Noor Sajid
Karl J. Friston
Zhibin Li
51
13
0
15 Aug 2023
Identifying Important Sensory Feedback for Learning Locomotion Skills
Wanming Yu
Chuanyu Yang
C. McGreavy
Eleftherios Triantafyllidis
Guillaume Bellegarda
M. Shafiee
A. Ijspeert
Zhibin Li
70
16
0
29 Jun 2023
Learning Visual Locomotion with Cross-Modal Supervision
Antonio Loquercio
Ashish Kumar
Jitendra Malik
SSL
95
43
0
07 Nov 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 Vision-Guided Dynamic Locomotion Over Challenging Terrains
Zhaocheng Liu
Fernando Acero
Zhibin Li
75
2
0
09 Sep 2021
Explainable Autonomous Robots: A Survey and Perspective
Tatsuya Sakai
Takayuki Nagai
62
68
0
06 May 2021
XAI-N: Sensor-based Robot Navigation using Expert Policies and Decision Trees
Aaron M. Roth
Jing Liang
Tianyi Zhou
78
8
0
22 Apr 2021
Multi-expert learning of adaptive legged locomotion
Chuanyu Yang
Kai Yuan
Qiuguo Zhu
Wanming Yu
Zhibin Li
162
188
0
10 Dec 2020
Learning Quadrupedal Locomotion over Challenging Terrain
Joonho Lee
Jemin Hwangbo
Lorenz Wellhausen
V. Koltun
Marco Hutter
142
1,176
0
21 Oct 2020
Learning Agile Robotic Locomotion Skills by Imitating Animals
Xue Bin Peng
Erwin Coumans
Tingnan Zhang
T. Lee
Jie Tan
Sergey Levine
130
508
0
02 Apr 2020
Verifiable Reinforcement Learning via Policy Extraction
Osbert Bastani
Yewen Pu
Armando Solar-Lezama
OffRL
134
338
0
22 May 2018
Proximal Policy Optimization Algorithms
John Schulman
Filip Wolski
Prafulla Dhariwal
Alec Radford
Oleg Klimov
OffRL
535
19,265
0
20 Jul 2017
A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning
Stéphane Ross
Geoffrey J. Gordon
J. Andrew Bagnell
OffRL
244
3,233
0
02 Nov 2010
1