Deep Reinforcement Learning Python

verl: Volcano Engine Reinforcement Learning for LLMs

verl is a flexible, efficient and production-ready RL training library for large language models (LLMs). verl is the open-source version of HybridFlow: A Flexible and Efficient RLHF Framework paper.

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What are the Best Python Libraries for Reinforcement Learning in 2025?

Overview: Reinforcement learning in 2025 is more practical than ever, with Python libraries evolving to support real-world simulations, robotics, and deci ...

IEEE

Deep Reinforcement Learning With Fuzzy Feature Fusion for Cooperative Control in Traffic Light and Connected Autonomous Vehicles

Abstract: A mixed traffic environment of manual driving and automatic driving will become the norm in future intelligent transportation systems. The deep reinforcement learning (DRL) method has shown ...

GitHub

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verl: Volcano Engine Reinforcement Learning for LLMs

What are the Best Python Libraries for Reinforcement Learning in 2025?

Deep Reinforcement Learning With Fuzzy Feature Fusion for Cooperative Control in Traffic Light and Connected Autonomous Vehicles

TabM: Advancing Tabular Deep Learning With Parameter-Efficient Ensembling" (ICLR 2025)

Agent Lightning: Adding reinforcement learning to AI agents without code rewrites

Deep Reinforcement Learning-Based Collision-Free Navigation for Magnetic Helical Microrobots in Dynamic Environments