Yechao She

Time-Varying Weights in Multi-Reward Architecture for Deep Reinforcement Learning

2024 · IEEE Transactions on Emerging Topics in Computational Intelligence

Deep Reinforcement Learning (DRL) has recently been focused on extracting more knowledge from the reward signal to improve sample efficiency. The Multi-Reward Architecture (MRA) achieves this by breaking down the original reward function into multiple …