kvas7andy

bm3il

Bayesian Multi-type Mean Field Multi-agent Imitation Learning

CyberBattleSim_Web

Version of CyberBattleSim https://github.com/microsoft/CyberBattleSim with extended funcitonality for training RL agents attacks on web applications

Kaggle

Kaggle competitions

kdd_project_2018

Team 20 KDD course project 2018 "Fine-Tuning strategy for classification based on transfer & active learning"

maml_rl

Code for RL experiments in "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

OHR_SmoothSVM

Online Handwriting Recognition with Smoothed SVM

unreal

Reinforcement learning with unsupervised auxiliary tasks

kvas7andy/kdd_project_2018

Team 20 KDD course project 2018 "Fine-Tuning strategy for classification based on transfer & active learning"

kvas7andy/bm3il

Bayesian Multi-type Mean Field Multi-agent Imitation Learning

kvas7andy/unreal

Reinforcement learning with unsupervised auxiliary tasks

kvas7andy/CyberBattleSim_Web

Version of CyberBattleSim https://github.com/microsoft/CyberBattleSim with extended funcitonality for training RL agents attacks on web applications

kvas7andy/maml_rl

Code for RL experiments in "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

kvas7andy/ai-deadlines

:alarm_clock: AI conference deadline countdowns

kvas7andy/aron_assign

kvas7andy/CyberBattleSim

An experimentation and research platform to investigate the interaction of automated agents in an abstract simulated network environments.

kvas7andy/deep-reinforcement-learning

Repo for the Deep Reinforcement Learning Nanodegree program

kvas7andy/DirectedInfo-GAIL

kvas7andy/drl_berkley_course

Lecture notes & Assignments of the CS294-112 course on Deep Reinforcement Learning in UC Berkley

kvas7andy/examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

kvas7andy/gym

A toolkit for developing and comparing reinforcement learning algorithms.

kvas7andy/HowToTrainYourMAMLPytorch

The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) paper in Pytorch.

kvas7andy/MA-AIRL

Multi-Agent Adversarial Inverse Reinforcement Learning, ICML 2019.

kvas7andy/MAGAIL

Pytorch implementation of Multi-Agent Generative Adversarial Imitation Learning

kvas7andy/magail_felixykliu

kvas7andy/maml

Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

kvas7andy/minos

MINOS: Multimodal Indoor Simulator

kvas7andy/multiagent-gail

kvas7andy/multiagent-gail_wsjeon

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

kvas7andy/multiagent-particle-envs

kvas7andy/ngsim_env

Learning human driver models from NGSIM data with imitation learning.

kvas7andy/olympics2021

Updated with World Bank Data Olympics dataset and NEW PCP coordinates plot notebook

kvas7andy/Option-GAIL

kvas7andy/papers

Research papers outline and analysis

kvas7andy/polygon-pascalvoc-writer

For generating Pascal VOC XML image annotation files. Supports polygon & bounding-boxes.

kvas7andy/Practical_RL

A course in reinforcement learning in the wild

kvas7andy/ROMA

Codes accompanying the paper "ROMA: Multi-Agent Reinforcement Learning with Emergent Roles" (ICML 2020 https://arxiv.org/abs/2003.08039)

kvas7andy/tensorboard

TensorFlow's Visualization Toolkit