Jiachen Yang's repositories
hierarchical-marl
Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery
discrete_mean_field_game
Experiments on a discrete mean field game model of population dynamics with reinforcement learning
metagradient-incentive-design
Adaptive Incentive Design with Multi-Agent Meta-Gradient Reinforcement Learning
rlbot_twitter
Data collection and experiment framework based on Tweepy
sequential_social_dilemma_games
Repo for reproduction of sequential social dilemmas
ai-economist
Foundation is a flexible, modular, and composable framework to model socio-economic behaviors and dynamics with both agents and governments. This framework can be used in conjunction with reinforcement learning to learn optimal economic policies, as done by the AI Economist (https://www.einstein.ai/the-ai-economist).
graph_nets
Build Graph Nets in Tensorflow
llnl.github.io
Public home for LLNL software catalog
pinterest_api
Pinterest API using Python
ray
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
tensorflow
Computation using data flow graphs for scalable machine learning