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hanabi

RL-Agents to play the famous AI-benchmark game hanabi. Contains DQN and PG variants, as well as a Graphical UI, to try out the agents

hanabi-ad-hoc-learning

hanabi-pool-of-states

Database pipeline for hanabi to train RL-agents without an environment. Forked from https://github.com/rocanaan/hanabi-ad-hoc-learning, to include the rule based agents available there.

ml-winter-university-2021

Material I created for the winter university on "Machine Learning using Python" that I lectured at TU Berlin together with my fellow friend Dennis Grinwald

neuron_poker

Texas holdem OpenAi gym poker environment with reinforcement learning based on keras-rl. Includes virtual rendering and montecarlo for equity calculation.

pbt-light

Framework for fast prototyping of Population-Based-Training methods. Implemented using Tensorflow 2.1.0 and tf_agents 0.4.0

poker

Fully functional Pokerbot that works on PartyPoker, PokerStars and GGPoker, scraping tables with Open-CV (adaptable via gui) or neural network and making decisions based on a genetic algorithm and montecarlo simulation for poker equity calculation. Binaries can be downloaded with this link:

prl_api

prl_baselines

prl_docs

prl_environment

prl_reinforce

pypokerengine

Poker engine for poker AI development in Python

pypokergui

GUI application for PyPokerEngine

saftd

Service Oriented Architecture for Algorithmic Trading and Financial Machine Learning (Experimental)

steinberger

Framework for Multi-Agent Deep Reinforcement Learning in Poker

telegram-cxz

thesis

Thesis