GitHub

SCOPE-RL: A Python library for offline reinforcement learning, off-policy evaluation, and selection

SCOPE-RL is an open-source Python Software for implementing the end-to-end procedure regarding offline Reinforcement Learning (offline RL), from data collection to offline policy learning, off-policy ...
GitHub

FIPO: Eliciting Deep Reasoning with Future-KL Influenced Policy Optimization

Figure 1. FIPO vs. baselines on AIME 2024. FIPO shows that pure RL training alone can outperform reproduced pure-RL baselines such as DAPO and DeepSeek-R1-Zero-32B, surpass o1-mini, and produce ...
IEEE

Study on the Optimization of Charging Pile Location Selection——Cost-Aware Algorithm Integrating Greedy Algorithm and Genetic Algorithm

Abstract: To address issues such as high construction costs, complex operation and maintenance, and unbalanced resource allocation in the charging pile location selection process, a cost-aware ...
IEEE

A Simulation-based Greedy Search Algorithm for Real-time Mitigation of Power Peaks in Railway Networks

Abstract: Power peaks occur when multiple electric trains draw high power simultaneously, e.g., during acceleration. This stresses the power grid and may lead to blackouts, posing a major concern for ...