IEEE

A Survey on Causal Reinforcement Learning

Abstract: While reinforcement learning (RL) achieves tremendous success in sequential decision-making problems of many domains, it still faces key challenges of data inefficiency and the lack of ...
GitHub

Kimi k1.5: Scaling Reinforcement Learning with LLMs

This is an unofficial implementation maintained by @StaryMoon. If this repository helps your reading, reproduction, or course project, please consider giving it a star and following my GitHub profile.
GitHub

DAPO: An Open-Source LLM Reinforcement Learning System at Scale

This is an unofficial implementation maintained by @StaryMoon. If this repository helps your reading, reproduction, or course project, please consider giving it a star and following my GitHub profile.
IEEE

Semantically-Driven Deep Reinforcement Learning for Inspection Path Planning

Abstract: This letter introduces a novel semantics-aware inspection planning policy derived through deep reinforcement learning. Reflecting the fact that within autonomous informative path planning ...