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

Complete Coverage Path Planning Algorithm Based on Greedy Extension

Abstract: With the advancement of marine resource development and protection activities, tasks such as full geomorphology mapping and underwater area sweeping in turbid water pose serious challenges ...
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 ...