szrlee

Awesome-LLM-Strawberry

A collection of LLM papers, blogs, and projects, with a focus on OpenAI o1 and reasoning techniques.

HiCode

Hidden Community Detection in Social Networks

memoire

AIPS

Automatic Intrusion Prevention Systems using SDN

awesome-continual-learning

Resources collection for the hot research topic of Continual Learning, a fundamental step stone to Artificial General Intelligence (AGI).

awesome-quantum-machine-learning-cn

收集量子机器学习的基础、算法、学习、项目等资料的收集。Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web

Distributed-Multi-Label-Continual-Learning

This is a distributed training framework for continual and incremental learning for multi-label multi-class image tasks

GPT-HyperAgent

The official code repo for HyperAgent for neural bandits and GPT-HyperAgent for content moderation.

HyperAgent

The official code repo for HyperAgent algorithm published in ICML 2024.

Stock-Time-Series-Analysis

Mathematical modeling for finantial time series data

szrlee/HyperAgent

The official code repo for HyperAgent algorithm published in ICML 2024.

szrlee/GPT-HyperAgent

The official code repo for HyperAgent for neural bandits and GPT-HyperAgent for content moderation.

szrlee/muzero-cpp

A C++ pytorch implementation of MuZero

szrlee/Distributed-Multi-Label-Continual-Learning

This is a distributed training framework for continual and incremental learning for multi-label multi-class image tasks

szrlee/Information_Directed_Sampling

Implementation of Russo and Van Roy work on Information Directed Sampling (2017)

szrlee/academic-kickstart

szrlee/academic-website

szrlee/Awesome-LLM-Strawberry

A collection of LLM papers, blogs, and projects, with a focus on OpenAI o1 and reasoning techniques.

szrlee/bror

szrlee/bsuite

bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent

szrlee/enn

szrlee/Exploration-in-RL

szrlee/graphbackup

Code release for Graph Backup: Data Efficient Backup Exploiting Markovian Transitions https://arxiv.org/abs/2205.15824

szrlee/hustthesis

:notebook_with_decorative_cover: An Unofficial Thesis Template in LaTeX for Huazhong University of Science and Technology

szrlee/HyperFQI

szrlee/LangevinDQN

Code for the Langevin DQN agent

szrlee/LMCTS

szrlee/logistic_bandit

Logistic Bandit experiments. Official code for the paper "Jointly Efficient and Optimal Algorithms for Logistic Bandits".

szrlee/model-based-muesli

muesli implementation based on muzero implementation from JimOhman (https://github.com/JimOhman/model-based-rl)

szrlee/MuZero-Tensor-Batch-MCTS

An idea to implement MCTS by tensors. This implementation is able to process a batch of observations on GPU.

szrlee/OB2I

Code for "Principled Exploration via Optimistic Bootstrapping and Backward Induction"

szrlee/offline-rl-neurips.github.io

szrlee/omega

A number of agents (PPO, MuZero) with a Perceiver-based NN architecture that can be trained to achieve goals in nethack/minihack environments.

szrlee/optimistic-init

Accompanying code for "Optimistic Initialization for Exploration in Continuous Control"

szrlee/rlberry

An easy-to-use reinforcement learning library for research and education.

szrlee/sigmazero

Generalizing DeepMind's MuZero algorithm on stochastic environments

szrlee/TabulaRL

szrlee/ts_tutorial

szrlee/ucbmq_code

szrlee/vae-anomaly-detector

Experiments on unsupervised anomaly detection using variational autoencoder. The variational autoencoder is implemented in Pytorch.