Hierarchical world models as visual whole-body humanoid controllers

[PDF] arxiv.org

Mimicking-bench: A benchmark for generalizable humanoid-scene interaction learning via human mimicking

Y Liu, B Yang, L Zhong, H Wang, L Yi - arXiv preprint arXiv:2412.17730, 2024 - arxiv.org
Learning generic skills for humanoid robots interacting with 3D scenes by mimicking human
data is a key research challenge with significant implications for robotics and real-world …
被引用次数：1 相关文章 所有 2 个版本
[PDF] arxiv.org

A Comprehensive Survey on Inverse Constrained Reinforcement Learning: Definitions, Progress and Challenges

G Liu, S Xu, S Liu, A Gaurav, SG Subramanian… - arXiv preprint arXiv …, 2024 - arxiv.org
Inverse Constrained Reinforcement Learning (ICRL) is the task of inferring the implicit
constraints followed by expert agents from their demonstration data. As an emerging …
相关文章 所有 2 个版本
[PDF] arxiv.org

Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging

B Wang, D Tan, YL Kuo, Z Sun, JM Wolfe… - arXiv preprint arXiv …, 2024 - arxiv.org
Imagine searching a collection of coins for quarters ($0.25 $), dimes ($0.10 $), nickels
($0.05 $), and pennies ($0.01 $)-a hybrid foraging task where observers look for multiple …
相关文章 所有 2 个版本
[PDF] arxiv.org

Mujoco mpc for humanoid control: Evaluation on humanoidbench

M Meser, A Bhatt, B Belousov, J Peters - arXiv preprint arXiv:2408.00342, 2024 - arxiv.org
We tackle the recently introduced benchmark for whole-body humanoid control
HumanoidBench using MuJoCo MPC. We find that sparse reward functions of …
相关文章 所有 3 个版本