We show that reducing churn by regularizing out-of-batch data reduces these chain effects and results in improved sample efficiency and scaling. #deepRL#reinforcementlearning

This work has been a huge effort by @tanghyyy Link to the paper: Improving Deep Reinforcement Learning by Reducing the Chain Effect of Value and Policy Churn Paper: arxiv.org/abs/2409.04792

Improving Deep Reinforcement Learning by Reducing the Chain Effect...

Deep neural networks provide Reinforcement Learning (RL) powerful function approximators to address large-scale decision-making problems. However, these approximators introduce challenges due to...