Chen-Yifan

rocksdb

A library that provides an embeddable, persistent key-value store for fast storage.

ethereumbook

Mastering Ethereum, by Andreas M. Antonopoulos, Gavin Wood

modern-cpp-features

A cheatsheet of modern C++ language and library features.

reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

interview

Interview questions

spinningup

An educational resource to help anyone learn deep reinforcement learning.

awesome-rl

Reinforcement learning resources curated

minimalRL

Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)

PettingZoo

An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities

Reinforcement-Learning-2nd-Edition-by-Sutton-Exercise-Solutions

Solutions of Reinforcement Learning, An Introduction

pymarl

Python Multi-Agent Reinforcement Learning framework

MAgent

A Platform for Many-Agent Reinforcement Learning

multi-agent-emergence-environments

Environment generation code for the paper "Emergent Tool Use From Multi-Agent Autocurricula"

maddpg

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

multiagent-competition

Code for the paper "Emergent Complexity via Multi-agent Competition"

ma-gym

A collection of multi agent environments based on OpenAI gym.

robosumo

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

RLcycle

A library for ready-made reinforcement learning agents and reusable components for neat prototyping

spec

marl_transfer

Code for paper 'Learning transferable cooperative behaviors in multi-agent teams' (ICML 2019)

drl_uav

Deep reinforcement learning for UAV in Gazebo simulation environment

rl-policies-attacks-defenses

Adversarial attacks on Deep Reinforcement Learning (RL)

minimal-marl

Minimal implementation of multi-agent reinforcement learning algorithms

Emergent-Multiagent-Strategies

Emergence of complex strategies through multiagent competition

tendermint-demo

Tendermint Verifiable Computations and Storage Demo

testnets

Various different test network-related configurations for Tendermint

HackerRankSolutions

sample solutions to HackerRank questions (above medium difficulty level)

tendermint-prometheus-exporter

Prometheus Exporter for Tendermint Blockchain

gym-gazebo-px4

PX4 reinforcement learning training enviroment based on gym-gazebo

robosumo-selfplay

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