1209 Open source projects that are alternatives of or similar to Animalai Olympics

An advanced program in Machine Learning and Deep Learning

My Solution to Assignments of CS234

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

My Solutions of Assignments of CS234: Reinforcement Learning Winter 2019

Notes and comments about Deep Reinforcement Learning papers

Use AWS RoboMaker and demonstrate running a simulation which trains a reinforcement learning (RL) model to drive a car around a track

🤖 Implements of Reinforcement Learning algorithms.

use AI to play some games.

Highly Modular and Scalable Reinforcement Learning

Deep Reinforcement Learning (DRL) agents applied to medical images

🎮 Advanced Deep Learning and Reinforcement Learning at UCL & DeepMind | YouTube videos 👉

Minimal Monte Carlo Policy Gradient (REINFORCE) Algorithm Implementation in Keras

Code for reproducing experiments in Model-Based Active Exploration, ICML 2019

"Continuous Deep Q-Learning with Model-based Acceleration" in TensorFlow

PyTorch implementation of Soft Actor-Critic (SAC)

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).

Trained A Convolutional Neural Network To Play 2048 using Deep-Reinforcement Learning

playing idealized trading games with deep reinforcement learning

Reinforcement Learning and Decision Making tutorials explained at an intuitive level and with Jupyter Notebooks

Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.

TensorFlow2 Reinforcement Learning

CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning

Python library for Reinforcement Learning.

Minimal and Clean Reinforcement Learning Examples

Asynchronous Advantage Actor-Critic (A3C) algorithm for Super Mario Bros

Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..

Reproducing MuJoCo benchmarks in a modern, commercial game /physics engine (Unity + PhysX).

OpenAI's cartpole env solver.

A collection of materials to help you learn about deep learning

AI trained using Genetic Algorithm and Deep Learning to play the game of snake

Reinforcement Learning for WeChat Jump

Season 3 of @twosigma's artificial intelligence programming challenge

Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research

🚀 FREE AI Resources - 🎓 Courses, 👷 Jobs, 📝 Blogs, 🔬 AI Research, and many more - for everyone!

NIPS Conversational Intelligence Challenge 2017 Winner System: Skill-based Conversational Agent with Supervised Dialog Manager

Repo for the Deep Reinforcement Learning Nanodegree program

An environment to high-frequency trading agents under reinforcement learning

A life simulation for exploring social dynamics

Season 2 of @twosigma's artificial intelligence programming challenge

Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario of StarCraft II

Machine Learning Platform for Kubernetes (MLOps tools for experimentation and automation)

DrQ: Data regularized Q

High Fidelity Simulator for Reinforcement Learning and Robotics Research.

Debugging, monitoring and visualization for Python Machine Learning and Data Science

PyTorch implementations of Deep Reinforcement Learning algorithms (DQN, DDQN, A2C, VPG, TRPO, PPO, DDPG, TD3, SAC, SAC-AEA)

A3C LSTM Atari with Pytorch plus A3G design

SharpNEAT - Evolution of Neural Networks. A C# .NET Framework.

lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.

Neural Symbolic Machines is a framework to integrate neural networks and symbolic representations using reinforcement learning, with applications in program synthesis and semantic parsing.

Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning

Tensorforce: a TensorFlow library for applied reinforcement learning

Playing Atari games with TensorFlow implementation of Asynchronous Deep Q-Learning

Get started with Machine Learning in TensorFlow with a selection of good reads and implemented examples!

GPU Javascript Library for Machine Learning

RLgraph: Modular computation graphs for deep reinforcement learning

A Comprehensive Reinforcement Learning Zoo for Simple Usage 🚀

Multiple implementations for abstractive text summurization , using google colab

Implementations of Reinforcement Learning Models in Tensorflow