640 Open source projects that are alternatives of or similar to Neuron_poker

🙄 Difficult algorithm, Simple code.

Reinforcement Learning Cheat Sheet

This projects aims to use reinforcement learning algorithms to play the game 2048.

Highly Modular and Scalable Reinforcement Learning

Input Convex Neural Networks

Repository for Planar Bipedal walking robot in Gazebo environment using Deep Deterministic Policy Gradient(DDPG) using TensorFlow.

A PyTorch implementation of Rainbow DQN agent

Repository for codes of Deep Reinforcement Learning (DRL) lectured at Samsung

Classic papers and resources on recommendation

Tensorforce: a TensorFlow library for applied reinforcement learning

AI Research Platform for Reinforcement Learning from Real Panoramic Images.

Solutions of assignments of Deep Reinforcement Learning course presented by the University of California, Berkeley (CS285) in Pytorch framework

🔥 An online poker game server powered by Redis, node.js and socket.io

Chess reinforcement learning by AlphaGo Zero methods.

Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning

PyTorch Implementation of REINFORCE for both discrete & continuous control

Initiative to read research papers

This repository holds the implementation code of Pangea Poker white paper: https://bit.ly/3bdCz0Z

Reinforcement Learning and Transfer Learning based StarCraft Micromanagement

FinRL: The first open-source project for financial reinforcement learning. Please star. 🔥

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).

PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)

Distributed Planning Poker

A curated list of Deep Learning

Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019

60_Days_RL_Challenge中文版

DrQ: Data regularized Q

My Solution to Assignments of CS234

Meandering In Networks of Entities to Reach Verisimilar Answers

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

Gym environments and agents for autonomous driving.

Safe Bayesian Optimization

Multi-hop knowledge graph reasoning learned via policy gradient with reward shaping and action dropout

A working implementation of the Categorical DQN (Distributional RL).

7-card Poker Hand Evaluator in 577 bytes

AI各领域学习资料整理。（A collection of all skills and knowledges should be got command of to obtain an AI relevant job offer. There are online blogs, my personal blogs, electronic books copy.）

Summaries of the papers that are discussed by VLG.

MAGNet: Multi-agents control using Graph Neural Networks

Training a Neural Network to play Pong from pixels

Project on design and implement neural network that maximises driving speed of self-driving car through reinforcement learning.

🕹️ CS234: Reinforcement Learning, Winter 2019 | YouTube videos 👉

Reinforcement Learning for WeChat Jump

Code for "Show, Adapt and Tell: Adversarial Training of Cross-domain Image Captioner" in ICCV 2017

Reinforcement learning tutorials

Must-read papers on knowledge graph reasoning

Reason8.ai PyTorch solution for NIPS RL 2017 challenge

No description or website provided.

Reinforced Negative Sampling over Knowledge Graph for Recommendation, WWW2020

Personal notes about scientific and research works on "Decision-Making for Autonomous Driving"

An OpenAI-gym-like environment for Little Fighter 2

Reinforcement learning algorithms implemented for Tensorflow 2.0+ [DQN, DDPG, AE-DDPG, SAC, PPO, Primal-Dual DDPG]

A toolkit for developing and comparing AI-bots of imperfect information and imcomplete information games.

self-studying the Sutton & Barto the hard way

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

A starter bot written in python for the pokerwars.io platform. To play: pull this code, register on pokerwars.io, get your API token and play!

An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

A simple interface to instantiate Reinforcement Learning environments with SUMO for Traffic Signal Control. Compatible with Gym Env from OpenAI and MultiAgentEnv from RLlib.

Implementation of algorithms for continuous control (DDPG and NAF).

Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...