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baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

batch-ppo

Efficient Batched Reinforcement Learning in TensorFlow

compilerproject-2020spring

Course Project. PKU Compiler Design. Spring, 2020.

cs294_fall-2017_hw

Assignments for CS294-112 Fall 2017

cs294_fall-2018_hw

Assignments for CS294-112 Fall 2018

hbjiang.github.io

白嫖一下github的https🤣

infer-policy-feature

lihang-code

《统计学习方法》的代码实现

mace

Code for "Settling Decentralized Multi-Agent Coordinated Exploration by Novelty Sharing" accepted by AAAI 2024.

meta-mapg-code

Source code for "A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning"

minedojo

Building Open-Ended Embodied Agents with Internet-Scale Knowledge

minigrid

Simple and easily configurable grid world environments for reinforcement learning

nd889

Udacity Artificial Intelligence Nanodegree

neurips2020-flatland-starter-kit

Forked from https://gitlab.aicrowd.com/flatland/neurips2020-flatland-starter-kit.git

openbilibili-go-common

哔哩哔哩 bilibili 网站后台工程 源码

pomegranate

Fast, flexible and easy to use probabilistic modelling in Python.

robosumo

Code for the paper "Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments"

robosumo-selfplay

Reproduction of self-play described in paper "Emergent Complexity via Multi-Agent Competition", adapted from PPO2 implementation in OpenAI baselines.

spinningup

An educational resource to help anyone learn deep reinforcement learning.

starcraft

Implementations of QMIX, VDN, COMA, QTRAN, CommNet, DyMA-CL, G2ANet on SMAC, the decentralised micromanagement scenario of StarCraft II