wsjeon

A3C_TensorFlow

Asynchronous Methods for Deep Reinforcement Learning

BGAIL

Bayesian Approach to Generative Adversarial Imitation Learning

ConditionalVariationalAutoencoder

CVAE

DistributedTensorFlowExample

asynchoronous learning example working inside localhost

maddpg-rllib

MADDPG in Ray/RLlib

mujoco-py-1.50.1.68

multiagent-gail

multiagent-gail working with multiagent-particle-env-v2 (which was modified by magail authors)

multiagent-particle-envs

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

multiagent-particle-envs-maac

multiagent-particle-envs used in MAAC repo

SVGD

TensorFlow Implementation of Stein Variational Gradient Descent (SVGD)

wsjeon/maddpg-rllib

MADDPG in Ray/RLlib

wsjeon/multiagent-gail

multiagent-gail working with multiagent-particle-env-v2 (which was modified by magail authors)

wsjeon/BGAIL

Bayesian Approach to Generative Adversarial Imitation Learning

wsjeon/multiagent-particle-envs-maac

multiagent-particle-envs used in MAAC repo

wsjeon/mujoco-py-1.50.1.68

wsjeon/multiagent-particle-envs

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

wsjeon/multiagent-particle-envs-v2

Modified multiagent-particle-env used in multi-agent gail

wsjeon/d4rl

A benchmark for offline reinforcement learning.

wsjeon/dm_control

DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

wsjeon/flow

Computational framework for reinforcement learning in traffic control

wsjeon/google-research

Google Research

wsjeon/gym

A toolkit for developing and comparing reinforcement learning algorithms.

wsjeon/handful-of-trials

Experiment code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"

wsjeon/KFAC-Pytorch

Pytorch implementation of KFAC and E-KFAC

wsjeon/minimal-mistakes

:triangular_ruler: Jekyll theme for building a personal site, blog, project documentation, or portfolio.

wsjeon/models

Models and examples built with TensorFlow

wsjeon/numba

NumPy aware dynamic Python compiler using LLVM

wsjeon/papers

wsjeon/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).

wsjeon/ray

A fast and simple framework for building and running distributed applications.

wsjeon/rllib-tf2

wsjeon/rlpyt

Reinforcement Learning in PyTorch

wsjeon/smac

SMAC: The StarCraft Multi-Agent Challenge

wsjeon/softlearning

Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains.

wsjeon/sparsemax-pytorch

Implementation of Sparsemax activation in Pytorch

wsjeon/stable-baselines3

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

wsjeon/tensorflow-cmake

TensorFlow examples in C, C++, Go and Python without bazel but with cmake and FindTensorFlow.cmake

wsjeon/TensorFlow-Tutorials

텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다

wsjeon/travis-ci

an example builder to build a container with Travis CI, and push to a Singularity Registry Server (or other endpoint)

wsjeon/wsjeon.github.io

Jekyll source for my personal blog.