DFM: Deep Fourier Mimic for Expressive Dance Motion Learning
In this work, we propose an efficient motion representation method with frequency-domain parameterizations that enable expressive policy learning.
Jan 27, 2025
Toward Task Generalization via Memory Augmentation in Meta-Reinforcement Learning
In this work, we propose a memory-enhanced meta-reinforcement learning method that extends OOD generalization for RL agents.
Jan 25, 2025
Robotic World Model: A Neural Network Simulator for Robust Policy Optimization in Robotics
In this work, we propose a model-based reinforcement learning method for robust policy optimization in robotics.
Jan 15, 2025
Learning Diverse Skills for Local Navigation under Multi-constraint Optimality
In this work, we propose a constraint grouping method for diversity optimization maintaining near optimality.
May 13, 2024
FLD: Fourier Latent Dynamics for Structured Motion Representation and Learning
In this work, we propose a self-supervised, structured representation and generation method that extracts spatial-temporal relationships in periodic or quasi-periodic motions.
Sep 1, 2023
Versatile Skill Control via Self-supervised Adversarial Imitation of Unlabeled Mixed Motions
In this work, we propose a cooperative generative adversarial method for obtaining controllable skill sets from unlabeled datasets containing diverse state transition patterns.
Sep 15, 2022
Learning Agile Skills via Adversarial Imitation of Rough Partial Demonstrations
In this work, we propose a generative adversarial method for inferring reward functions from partial and potentially physically incompatible demonstrations for successful skill acquirement where reference or expert demonstrations are not easily accessible.
Jun 15, 2022