3 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.GR2024
Utilizing Motion Matching with Deep Reinforcement Learning for Target Location Tasks
Jeongmin Lee, Taesoo Kwon, Hyunju Shin +1
We present an approach using deep reinforcement learning (DRL) to directly generate motion matching queries for long-term tasks, particularly targeting the reaching of specific loc…
cs.GR2024★ 1 cited
Learning Human-like Locomotion Based on Biological Actuation and Rewards
Minkwan Kim, Yoonsang Lee
We propose a method of learning a policy for human-like locomotion via deep reinforcement learning based on a human anatomical model, muscle actuation, and biologically inspired re…
cs.GR2024★ 3 cited
Performance-Based Biped Control using a Consumer Depth Camera
Yoonsang Lee, Taesoo Kwon
We present a technique for controlling physically simulated characters using user inputs from an off-the-shelf depth camera. Our controller takes a real-time stream of user poses a…