Popular Reinforcement Fine-Tuning (RFT) methods, e.g., Group Relative Policy Optimization ... and fast-align DPO (Targeted Optimization). 1) High-Quality and Diverse Video Reasoning Data (Verifiable ...

Then, two types of reward functions are introduced to incentivize and guide strategy optimization. Finally, a reinforcement learning agent framework integrating Proximal Policy Optimization (PPO) and ...

An Easy-to-use, Scalable and High-performance RLHF Framework based on Ray (PPO & GRPO & REINFORCE++ & vLLM & RFT & Dynamic Sampling & Async Agent RL) ...

The current study’s objective is to reveal the best possible solution for an optimal power flow (OPF) problem ... backtracking search optimization algorithm (BSA), and sine cosine algorithm (SCA). The ...

through scenario-specific adjustments to the Proximal Policy Optimization (PPO) algorithm, we tackle the complexity of tactical simulations. Utilizing an advanced simulation platform, a diverse range ...