downseq's repositories
reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
alpha-zero-general
A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4
CFR-In-Fsharp
Randomized testing of various CFR theorems.
counterfactual-regret-minimization
Counterfactual regret minimization algorithm for Kuhn poker
cs231n.github.io
Public facing notes page
DeeperStack
This is an implementation of DeepStack for No Limit Texas Hold'em, extended from DeepStack-Leduc.
deepmind-research
This repository contains implementations and illustrative code to accompany DeepMind publications
FsharpChess
Chess with an F# domain engine and a simple WPF UI.
graph_attention_pool
Attention over nodes in Graph Neural Networks using PyTorch (NeurIPS 2019)
HearthstoneAICompetition
Hearthstone-AI Comeptition 2019
mushroom-rl
Python library for Reinforcement Learning experiments.
open_spiel
OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.
pluribus-poker-AI
🤖 An Open Source Texas Hold'em AI
Poker-MCCFRM
A poker AI for NL Texas Holdem supporting any number of players, trained using Monte-Carlo Counterfactual Regret Minimization.
Reinforcement_Learning_for_Stock_Prediction
This is the code for "Reinforcement Learning for Stock Prediction" By Siraj Raval on Youtube
ScalphaGoZero
An independent implementation of DeepMind's AlphaGoZero in Scala, using Deeplearning4J (DL4J)
screenshot
рokеr bot
softlearning
Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.
torchbeast
A PyTorch Platform for Distributed RL