daihuiao

aricraft_all

BCQ

Author's PyTorch implementation of BCQ for continuous and discrete actions

BPPO

Author's Pytorch implementation of ICLR2023 paper Behavior Proximal Policy Optimization (BPPO).

CORL

High-quality single-file implementations of SOTA Offline RL algorithms: AWAC, BC, CQL, DT, EDAC, IQL, SAC-N, TD3+BC, LB-SAC

CORL_tobedeleted

CQL

Code for conservative Q-learning

CQL-1

Conservative Q Learning on top of SAC

denoising-diffusion-pytorch

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

openreview_summarizereviews_2024

Summarizing Mean Review Score for All Submissions for a Conference hosted on Openreview

stable-diffusion

daihuiao/openreview_summarizereviews_2024

Summarizing Mean Review Score for All Submissions for a Conference hosted on Openreview

daihuiao/denoising-diffusion-pytorch

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

daihuiao/stable-diffusion

daihuiao/aricraft_all

daihuiao/BPPO

Author's Pytorch implementation of ICLR2023 paper Behavior Proximal Policy Optimization (BPPO).

daihuiao/CORL

High-quality single-file implementations of SOTA Offline RL algorithms: AWAC, BC, CQL, DT, EDAC, IQL, SAC-N, TD3+BC, LB-SAC

daihuiao/CORL_tobedeleted

daihuiao/CQL-1

Conservative Q Learning on top of SAC

daihuiao/decision-transformer

Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.

daihuiao/deep_rl_zoo

A collection of Deep RL algorithms implemented with PyTorch to solve Atari games and classic control tasks like CartPole, LunarLander, and MountainCar.

daihuiao/Diffusion-Policies-for-Offline-RL

daihuiao/dm_control

DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

daihuiao/ElegantRL_diffusion_policy

Cloud-native Deep Reinforcement Learning. 🔥

daihuiao/FederalLearning

通过阅读Communication-Efficient Learning of Deep Networks from Decentralized Data与Robust and Communication-Efficient Federated Learning from Non-IID Data两篇论文，复现FedAvg与STC算法，完成LSTM模型+ Shakespeare数据集的字符预测任务

daihuiao/Federated-Learning-PyTorch

Handy PyTorch implementation of a federated learning (especially for painless research)

daihuiao/gym_dockauv

Gym Environment for AUV docking procedure

daihuiao/inac_pytorch

daihuiao/iris

Transformers are Sample Efficient World Models

daihuiao/Machine-Learning-In-Numpy

纯python实现机器学习算法,非套用sk-learn

daihuiao/maddpg_uncertainty

Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

daihuiao/MCQ

Code for Mildly Conservative Q-learning for Offline Reinforcement Learning (NeurIPS 2022)

daihuiao/mpo

PyTorch Implementation of the Maximum a Posteriori Policy Optimisation

daihuiao/nanoGPT

The simplest, fastest repository for training/finetuning medium-sized GPTs.

daihuiao/noreward-rl

[ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning

daihuiao/OfflineRL

A collection of offline reinforcement learning algorithms. This is a mirror repo from https://agit.ai/Polixir/OfflineRL

daihuiao/OfflineRL-Lib

Benchmarked implementations of Offline RL Algorithms.

daihuiao/on-policy_uncertainty

This is the official implementation of Multi-Agent PPO (MAPPO).

daihuiao/online-dt

Online Decision Transformer

daihuiao/paper5

daihuiao/pytorch-

Tensors and Dynamic neural networks in Python with strong GPU acceleration