主要记录大语言大模型（LLMs） 算法（应用）工程师相关的知识及面试题

厦门大学攻略大全 Import files, learning materials and useful links of XMU to help XMUers live and learn better.

该仓库记录搜索推荐算法工程师的必备面试知识点+paper

Official implementation of Behavior Prior Representation learning for Offline Reinforcement Learning

[CVPR 2022 Oral] Code release for "Causality Inspired Representation Learning for Domain Generalization"

Code for "Principled Offline RL in the Presence of Rich Exogenous Information" and "Ignorance is Bliss: Robust Control via Information Gating".

Counterfactual explanations for Reinforcement Learning agents on Atari

reproduction of CausalVAE

本项目是作者们根据个人面试和经验总结出的自然语言处理(NLP)、推荐系统(RES) 面试准备的学习笔记与资料，该资料目前包含 自然语言处理和推荐各领域的 面试题积累。

Preliminary code for Representation learning with Generalized Similarity Functions

Invariant Causal Prediction for Block MDPs

Code for NeurIPS 2021 paper: "Invariant Causal Imitation Learning for Generalizable Policies" by I. Bica, D. Jarrett, M. van der Schaar

🛠 How to Apply Causal ML to Real Scene Modeling？How to learn Causal ML？【✔从Causal ML到实际场景的Uplift建模】

记录学习机器学习、数据挖掘

Reinforcement learning for medical decisions

Code for ICLR 2024 paper "Towards Robust Offline Reinforcement Learning under Diverse Data Corruption"

Extreme Q-Learning: Max Entropy RL without Entropy

🤖 Elegant implementations of offline safe RL algorithms in PyTorch

Reinforcement learning for sepsis

Discrete version of SQL in "Offline RL with No OOD Actions: In-Sample Learning via Implicit Value Regularization"

Source code for AdaCare: Explainable Clinical Health Status Representation Learning via Scale-Adaptive Feature Extraction and Recalibration

Reinforcement Learning for optimal sepsis treatment policies

Open AI Gym Environment For MIMIC Dataset Sepsis Patient

Related papers for offline reforcement learning (we mainly focus on representation and sequence modeling and conventional offline RL)

PyTorch implementation of the implicit Q-learning algorithm (IQL)