626 Open source projects that are alternatives of or similar to Run Skeleton Run

A gym environment for Stuart Armstrong's model of a treacherous turn.

My Exploration on Deep Reinforcement Learning Survey

A small Roguelike game that uses Machine Learning to power its entities. Originally used in talks by Ciro & Alessia.

Learning from zero (mostly based off of AlphaZero) in General Game Playing.

🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.

A collection of machine learning examples and tutorials.

Velocity in deep-learning research

Qualia is a deep learning framework deeply integrated with automatic differentiation and dynamic graphing with CUDA acceleration. Qualia was built from scratch.

AI Research Platform for Reinforcement Learning from Real Panoramic Images.

Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.

An OpenAI-gym-like environment for Little Fighter 2

Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)

OpenAI Gym environments for an open-source quadruped robot (SpotMicro)

Behavior Optimization and Learning for Robots

Some of the ML and DL related reading materials, research papers that I've read

OpenAI Gym wrapper for the DeepMind Control Suite

A selection of state-of-the-art research materials on decision making and motion planning.

Deep Reinforcement Learning Framework + Algorithms

Flappy Bird hack using Reinforcement Learning

A curated awesome list of AI Startups in India & Machine Learning Interview Guide. Feel free to contribute!

A minimalist environment for decision-making in autonomous driving

A graphical interface for reinforcement learning and gym-based environments. Integrates tensorboard and various configuration utilities for ease of usage.

Carefully curated resource links for data science in one place

Mostly free resources for end-to-end machine learning engineering, including open courses from CalTech, Columbia, Berkeley, MIT, and Stanford (in alphabetical order).

Deep Q-learning for playing flappy bird game

RL agent to play μRTS with Stable-Baselines3 and PyTorch

Doom-based AI Research Platform for Reinforcement Learning from Raw Visual Information.

Reproduction code for WGAN-LP

Reimplementation of World-Models (Ha and Schmidhuber 2018) in pytorch

Reinforcement Learning Assignment: Easy21

Deepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving

Python implementations of contextual bandits algorithms

PGDrive: an open-ended driving simulator with infinite scenes from procedural generation

Some awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning

Reinforcement learning with unsupervised auxiliary tasks

With underflow, create trafic light clusters that interact together to regulate circulation

Computational framework for reinforcement learning in traffic control

PyTorch re-implementation of parts of "Deep Sets" (NIPS 2017)

Framework for building algorithms based on FractalAI

No description or website provided.

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

Reinforcement learning material, code and exercises for Udacity Nanodegree programs.

Reversi reinforcement learning by AlphaGo Zero methods.

Paper reading notes on Deep Learning and Machine Learning

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

Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.

Convolution dictionary learning for time-series

A custom MARL (multi-agent reinforcement learning) environment where multiple agents trade against one another (self-play) in a zero-sum continuous double auction. Ray [RLlib] is used for training.

MXNET + OpenAI Gym implementation of A3C from "Asynchronous Methods for Deep Reinforcement Learning"

Poker engine for poker AI development in Python

End to end motion planner using Deep Deterministic Policy Gradient (DDPG) in gazebo

A Multi-agent Learning Framework

A curated list of Monte Carlo tree search papers with implementations.

A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.

Multi-Agent Resource Optimization (MARO) platform is an instance of Reinforcement Learning as a Service (RaaS) for real-world resource optimization problems.

Minimalistic gridworld package for OpenAI Gym

Simulation of spiking neural networks (SNNs) using PyTorch.

Self-driving car simulator for the Duckietown universe

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