Pinned Repositories
cansat2017
Cansat 2017 competition code
Capstone
UofT MIE443 Capstone
genshin_genius_invokation
RL environment and agents for Gensin Impact's Genius Invokation TCG card game.
learn-to-interact
undergrad thesis on the emergence of multi-agent behaviours
mpe_hierarchy
Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"
Papers
Collection of my reading notes
Structured-Inference-and-Learning
projects for summer research 2017
Workflow
My ML Workflow
graph-imitation-learning
safe-control-gym
PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL
Justin-Yuan's Repositories
Justin-Yuan/Papers
Collection of my reading notes
Justin-Yuan/learn-to-interact
undergrad thesis on the emergence of multi-agent behaviours
Justin-Yuan/Capstone
UofT MIE443 Capstone
Justin-Yuan/genshin_genius_invokation
RL environment and agents for Gensin Impact's Genius Invokation TCG card game.
Justin-Yuan/mpe_hierarchy
Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"
Justin-Yuan/safe-control-gym
PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL
Justin-Yuan/Workflow
My ML Workflow
Justin-Yuan/baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
Justin-Yuan/cmdps_via_bvf
Constrained Markov Decision Processes via Backward Value Functions
Justin-Yuan/DeepRL
Modularized Implementation of Deep RL Algorithms in PyTorch
Justin-Yuan/dm_control
The DM Control Suite and Package is a tool for developing and testing reinforcement learning agents for the MuJoCo physics engine.
Justin-Yuan/efficient-rl
refactored repo for efficient rl, picking up from the 2020-neurips-procgen-competition
Justin-Yuan/google-research
Google Research
Justin-Yuan/gym
A toolkit for developing and comparing reinforcement learning algorithms.
Justin-Yuan/gym-pybullet-drones
PyBullet Gym environments for single and multi-agent reinforcement learning of quadcopter control
Justin-Yuan/Justin-Yuan.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Justin-Yuan/multiagent_mujoco
Benchmark for Continuous Multi-Agent Robotic Control, based on OpenAI's Mujoco Gym environments.
Justin-Yuan/MyLeetCode
collections of my leetcode studies
Justin-Yuan/neural-mmo
Neural MMO - A Massively Multiagent Game Environment
Justin-Yuan/neurips2020-procgen-starter-kit
Starter Kit for NeurIPS 2020 - Procgen Competition on AIcrowd
Justin-Yuan/pymarl
Beta code release for Python Multi-Agent Reinforcement Learning framework
Justin-Yuan/pysc2
StarCraft II Learning Environment
Justin-Yuan/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).
Justin-Yuan/Resume
Justin-Yuan/rlpyt
Reinforcement Learning in PyTorch
Justin-Yuan/sacred
Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.
Justin-Yuan/sequential_social_dilemma_games
Repo for reproduction of sequential social dilemmas
Justin-Yuan/spinningup
An educational resource to help anyone learn deep reinforcement learning.
Justin-Yuan/url_benchmark
Justin-Yuan/website