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Jiayi Weng

2 accepted papers

2024

Cleanba: A Reproducible and Efficient Distributed Reinforcement Learning Platform

ICLR 2024poster

Distributed Deep Reinforcement Learning (DRL) aims to leverage more computational resources to train autonomous agents with less training time. Despite recent progress in the field, reproducibility issues have not been sufficiently explored. This paper first shows that the typical actor-learner fram…

2022

EnvPool: A Highly Parallel Reinforcement Learning Environment Execution Engine

NeurIPS 2022accept

There has been significant progress in developing reinforcement learning (RL) training systems. Past works such as IMPALA, Apex, Seed RL, Sample Factory, and others, aim to improve the system's overall throughput. In this paper, we aim to address a common bottleneck in the RL training system, i.e.,…