Ce dépôt rassemble les tickets techniques qui portent sur data.gouv.fr.

Code for the paper "Generative Adversarial Imitation Learning"

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

Nathan Brown- PhD Research on Engineering Design Using Reinforcement Learning with an emphasis on Material Structure and Metamaterial Design

Asynchronous Advantage Actor-Critic (A3C) algorithm for Super Mario Bros

Proximal Policy Optimization (PPO) algorithm for Super Mario Bros

SOgym environment for the development of RL agent for topology optimization

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

Frequency Domain Decomposition

For a three-degree-of-freedom system, assuming that it is subjected to independent white noise random excitation, the acceleration data file sampling frequency is 100HZ, combined with the frequency…

Frequency Domain Decomposition (FDD)

We introduce an innovative physics-informed LSTM framework for metamodeling of nonlinear structural systems with scarce data.

A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.

proof of concept for a transformer-based time series prediction model

Deep Reinforcement Learning

Concise pytorch implements of DRL algorithms, including REINFORCE, A2C, DQN, PPO(discrete and continuous), DDPG, TD3, SAC.

A hyperparameter optimization framework

Pytorch🍊🍉 is delicious, just eat it! 😋😋

Pytorch❤️ Keras 😋😋

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

An educational resource to help anyone learn deep reinforcement learning.

Clean, Robust, and Unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKT…

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

强化学习中文教程（蘑菇书🍄），在线阅读地址：https://datawhalechina.github.io/easy-rl/

This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."

Seismic performance assessment based on hysteresis curves