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adamw-pytorch

Implementation and experiments for AdamW on Pytorch

awesome-deeplearning

深度学习入门课、资深课、特色课、学术案例、产业实践案例、深度学习知识百科及面试题库The course, case and knowledge of Deep Learning and AI

awesome-offline-rl

An index of algorithms for offline reinforcement learning (offline-rl)

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

bayesianreinforcementlearning

Exploring two approaches to Bayesian reinforcement learning. The first is based on Markov decision processes, and the second is an application of Gaussian processes to Gaussian process temporal difference (GPTD).

best-deep-learning-optimizers

Collection of the latest, greatest, deep learning optimizers (for Pytorch) - CNN, NLP suitable

c

c的学习

cmu_project_reinforcementlearning

Implemented Q-learning with linear function approximation to solve the mountain car environment

cplusplus

C/C++写的小游戏： 2048、FlappyBird、通讯录、终端 IM、 界面 IM、仿 QQ 简版聊天

deep-q-networks

Implementations of algorithms from the Q-learning family. Implementations inlcude: DQN, DDQN, Dueling DQN, PER+DQN, Noisy DQN, C51

deep-reinforcement-learning-algorithms-with-pytorch

PyTorch implementations of deep reinforcement learning algorithms and environments

deep-reinforcement-learning-hands-on

Hands-on Deep Reinforcement Learning, published by Packt

deep-reinforcement-learning-hands-on-second-edition

Deep-Reinforcement-Learning-Hands-On-Second-Edition, published by Packt

deep-reinforcement-learning-with-pytorch

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

deep-rl-mountain-car

DQN based RL agent for Mountain Car

deeprl

Modularized Implementation of Deep RL Algorithms in PyTorch

drl

Deep Reinforcement Learning

drl-code-pytorch

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

easy-rl

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

elegantrl

Lightweight and scalable deep reinforcement learning using PyTorch. 🔥

emphatic-lstd-experiments

Experiments with emphasis and least-squares temporal difference learning

erp_gym_env

finrl

FinRL: The first open-source project for financial reinforcement learning. Please star. 🔥

genshin_auto_fish

基于深度强化学习的原神自动钓鱼AI

greedysnake

c++经典项目贪吃蛇游戏控制台版，详细注释

gsc579

Config files for my GitHub profile.

gsc579.github.io

gym

A toolkit for developing and comparing reinforcement learning algorithms.

helloworld