- š Hi, Iām Bilal Kartal.
- š Iām interested in autonomous agents.
- TODO(b-kartal): update this page further ;)
b-kartal Goto Github PK
Name: Bilal Kartal
Type: User
Bio: Researcher & Programmer.
Name: Bilal Kartal
Type: User
Bio: Researcher & Programmer.
Learn Deep Reinforcement Learning in Depth in 60 days
A continuous action space version of A3C LSTM in pytorch plus A3G design
101+ coding interview problems with detailed solutions, test cases, and program analysis
A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4
Reinforcement learning resources curated
A curated list of reinforcement learning with human feedback resources (continually updated)
Config files for my GitHub profile.
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
Public facing notes page
Modularized Implementation of Deep RL Algorithms in PyTorch
Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
Generate Diverse Counterfactual Explanations for any machine learning model.
An implementation of FeUdal Networks for Hierarchical Reinforcement Learning as published : https://arxiv.org/abs/1703.01161
Hybrid CPU/GPU implementation of the A3C algorithm for deep reinforcement learning.
A minimal C and Verilog implementation of Nintendo Gameboy - An fast research environment for Reinforcement Learning
A C++ compile-time math library using generalized constant expressions
PyTorch implementation of Grad-CAM
Code for our paper: Hierarchical RL Using an Ensemble of Proprioceptive Periodic Policies
Hierarchical Self-Play
Go engine with no human-provided knowledge, modeled after the AlphaGo Zero paper.
Code for visualizing the loss landscape of neural nets
Project Malmo is a platform for Artificial Intelligence experimentation and research built on top of Minecraft. We aim to inspire a new generation of research into challenging new problems presented by this unique environment. --- For installation instructions, scroll down to *Getting Started* below, or visit the project page for more information:
Topics course Mathematics of Deep Learning, NYU, Spring 18
Code for the paper 'Monte Carlo Tree Search for Asymmetric Trees'
Multitask Environments for RL
Python library for Reinforcement Learning experiments.
MuZero
Implementations for the Multi-Agent AI 'Pommermann' challenge @NIPS2018
A declarative, efficient, and flexible JavaScript library for building user interfaces.
š Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. ššš
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ā¤ļø Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.