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Justin Yuan's Projects

baselines icon baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

cmdps_via_bvf icon cmdps_via_bvf

Constrained Markov Decision Processes via Backward Value Functions

deeprl icon deeprl

Modularized Implementation of Deep RL Algorithms in PyTorch

dm_control icon dm_control

The DM Control Suite and Package is a tool for developing and testing reinforcement learning agents for the MuJoCo physics engine.

efficient-rl icon efficient-rl

refactored repo for efficient rl, picking up from the 2020-neurips-procgen-competition

gym icon gym

A toolkit for developing and comparing reinforcement learning algorithms.

gym-pybullet-drones icon gym-pybullet-drones

PyBullet Gym environments for single and multi-agent reinforcement learning of quadcopter control

justin-yuan.github.io icon justin-yuan.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

mpe_hierarchy icon mpe_hierarchy

Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

multiagent_mujoco icon multiagent_mujoco

Benchmark for Continuous Multi-Agent Robotic Control, based on OpenAI's Mujoco Gym environments.

neural-mmo icon neural-mmo

Neural MMO - A Massively Multiagent Game Environment

nri icon nri

Neural relational inference for interacting systems - pytorch

pymarl icon pymarl

Beta code release for Python Multi-Agent Reinforcement Learning framework

pysc2 icon pysc2

StarCraft II Learning Environment

pytorch-a2c-ppo-acktr-gail icon pytorch-a2c-ppo-acktr-gail

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

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