deep-reinforcement-learning

Playing the game of snake with AI.

Top 200 deep learning Github repositories sorted by the number of stars.

An offline deep reinforcement learning library

A curated list of Diffusion Model in RL resources (continually updated)

Free course that takes you from zero to Reinforcement Learning PRO 🦸🏻‍🦸🏽

For deep RL and the future of AI.

An artificial intelligence platform for the StarCraft II with large-scale distributed training and grand-master agents.

Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".

Deep Reinforcement Learning for mobile robot navigation in ROS Gazebo simulator. Using Twin Delayed Deep Deterministic Policy Gradient (TD3) neural network, a robot learns to navigate to a random goal point in a simulated environment while avoiding obstacles.

One repository is all that is necessary for Multi-agent Reinforcement Learning (MARL)

Minimal Deep Q Learning (DQN & DDQN) implementations in Keras

JMLR: OmniSafe is an infrastructural framework for accelerating SafeRL research.

Really Fast End-to-End Jax RL Implementations

This is a library that provides dual dexterous hand manipulation tasks through Isaac Gym

Reinforcement Learning environments for Traffic Signal Control with SUMO. Compatible with Gymnasium, PettingZoo, and popular RL libraries.

Source codes for the book "Reinforcement Learning: Theory and Python Implementation"

Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools, with 10x faster training through evolutionary hyperparameter optimization.

Gibson Environments: Real-World Perception for Embodied Agents

Python library for Reinforcement Learning.

A curated list of awesome Deep Reinforcement Learning resources.

Pytorch code for ICLR-20 Paper "Learning to Explore using Active Neural SLAM"

This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Dueling Network, DDPG, SAC, A2C, PPO, TRPO. (More algorithms are still in progress)

A PyTorch library for building deep reinforcement learning agents.

A reinforcement learning package for Julia

The SSBM "Phillip" AI.

Imitation learning algorithms

文件 笔和线段的一种划分.py,只需要把k线high，low数据输入，就能自动实现笔，线段，中枢，买卖点，走势类型的划分了。可以把sh.csv 作为输入文件。个人简历见.pdf。时间的力量。有人说择时很困难，有人说选股很容易，有人说统计套利需要的IT配套设施很重要。还有人说系统有不可测原理。众说纷纭。分布式的系统，当你的影响可以被忽略，你才能实现，Jiang主席所谓之，闷声发大财。第一周，大盘跌了1%，挣钱了一万，挣了5%。 #股票 #股市 #缠论 https://v.kuaishou.com/bFEl6M Copy this message and open 【Kwai】to view!

人车模拟器（Human-vehicle Simulator）

Deep Reinforcement Learning (PPO) in Autonomous Driving (Carla) [from scratch]

羊了个羊 + 深度强化学习（Deep Reinforcement Learning + 3 Tiles Game)