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SLM Lab

Modular Deep Reinforcement Learning framework in PyTorch

SLM Lab is a modular and extensible deep reinforcement learning framework designed for research and practical applications. It provides implementations of various state-of-the-art RL algorithms and emphasizes reproducibility, scalability, and detailed experiment tracking. SLM Lab is structured around a flexible experiment management system, allowing users to define, run, and analyze RL experiments efficiently.

Downloads: 2 This Week

Last Update: 2026-06-20
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2

PARL

A high-performance distributed training framework

PARL is a scalable reinforcement learning framework built on top of PaddlePaddle. It focuses on modularity and ease of use, supporting distributed training and a variety of RL algorithms.

Downloads: 0 This Week

Last Update: 2025-03-13
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