Faming Liang

Fast Value Tracking for Deep Reinforcement Learning

2024 · arXiv (Cornell University)

Reinforcement learning (RL) tackles sequential decision-making problems by creating agents that interacts with their environment. However, existing algorithms often view these problem as static, focusing on point estimates for model parameters to maximize expected rewards, …