1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.RO2024
Importance Sampling-Guided Meta-Training for Intelligent Agents in Highly Interactive Environments
Mansur Arief, Mike Timmerman, Jiachen Li +2
Training intelligent agents to navigate highly interactive environments presents significant challenges. While guided meta reinforcement learning (RL) approach that first trains a…
eess.SY2024★ 1 cited
Adaptive Gain Scheduling using Reinforcement Learning for Quadcopter Control
Mike Timmerman, Aryan Patel, Tim Reinhart
The paper presents a technique using reinforcement learning (RL) to adapt the control gains of a quadcopter controller. Specifically, we employed Proximal Policy Optimization (PPO)…