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Learning Risk-Aware Quadrupedal Locomotion using Distributional
  Reinforcement Learning

Learning Risk-Aware Quadrupedal Locomotion using Distributional Reinforcement Learning

25 September 2023
Lukas Schneider
Jonas Frey
Takahiro Miki
Marco Hutter
ArXivPDFHTML

Papers citing "Learning Risk-Aware Quadrupedal Locomotion using Distributional Reinforcement Learning"

11 / 11 papers shown
Title
Return Capping: Sample-Efficient CVaR Policy Gradient Optimisation
Return Capping: Sample-Efficient CVaR Policy Gradient Optimisation
Harry Mead
Clarissa Costen
Bruno Lacerda
Nick Hawes
22
0
0
29 Apr 2025
TacEx: GelSight Tactile Simulation in Isaac Sim -- Combining Soft-Body
  and Visuotactile Simulators
TacEx: GelSight Tactile Simulation in Isaac Sim -- Combining Soft-Body and Visuotactile Simulators
Duc Huy Nguyen
Tim Schneider
Guillaume Duret
Alap Kshirsagar
Boris Belousov
Jan Peters
25
1
0
07 Nov 2024
Preference Aligned Diffusion Planner for Quadrupedal Locomotion Control
Preference Aligned Diffusion Planner for Quadrupedal Locomotion Control
Xinyi Yuan
Zhiwei Shang
Zifan Wang
Chenkai Wang
Zhao Shan
Zhenchao Qi
Meixin Zhu
Chenjia Bai
Weiwei Wan
Kensuke Harada
33
3
0
17 Oct 2024
Rethinking Robustness Assessment: Adversarial Attacks on Learning-based
  Quadrupedal Locomotion Controllers
Rethinking Robustness Assessment: Adversarial Attacks on Learning-based Quadrupedal Locomotion Controllers
Fan Shi
Chong Zhang
Takahiro Miki
Joonho Lee
Marco Hutter
Stelian Coros
AAML
37
12
0
21 May 2024
Arm-Constrained Curriculum Learning for Loco-Manipulation of the
  Wheel-Legged Robot
Arm-Constrained Curriculum Learning for Loco-Manipulation of the Wheel-Legged Robot
Zifan Wang
Yufei Jia
Lu Shi
Haoyu Wang
Haizhou Zhao
Xueyang Li
Jinni Zhou
Jun Ma
Guyue Zhou
21
5
0
25 Mar 2024
Robust Quadrupedal Locomotion via Risk-Averse Policy Learning
Robust Quadrupedal Locomotion via Risk-Averse Policy Learning
Jiyuan Shi
Chenjia Bai
Haoran He
Lei Han
Dong Wang
Bin Zhao
Mingguo Zhao
Xiuyang Li
Xuelong Li
OffRL
OOD
12
9
0
18 Aug 2023
Risk-Sensitive Policy with Distributional Reinforcement Learning
Risk-Sensitive Policy with Distributional Reinforcement Learning
Thibaut Théate
D. Ernst
OffRL
20
5
0
30 Dec 2022
Team CERBERUS Wins the DARPA Subterranean Challenge: Technical Overview
  and Lessons Learned
Team CERBERUS Wins the DARPA Subterranean Challenge: Technical Overview and Lessons Learned
Marco Tranzatto
M. Dharmadhikari
Lukas Bernreiter
Marco Camurri
Shehryar Khattak
...
M. Mueller
Maurice F. Fallon
Roland Siegwart
Marco Hutter
K. Alexis
29
34
0
11 Jul 2022
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
108
535
0
24 Sep 2021
Autonomous Spot: Long-Range Autonomous Exploration of Extreme
  Environments with Legged Locomotion
Autonomous Spot: Long-Range Autonomous Exploration of Extreme Environments with Legged Locomotion
Amanda Bouman
M. Ginting
Nikhilesh Alatur
M. Palieri
David D. Fan
...
T. Pailevanian
Sung-Kyun Kim
K. Otsu
J. W. Burdick
Ali-akbar Agha-mohammadi
91
128
0
19 Oct 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
131
184
0
08 May 2020
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