The RL playground. Experiments with RL algorithms

Assignment codes for CS747 Intelligent and Learning Agents

The model of the world objects of the Deep Reinforcement Learning showcase "learning agents".

An attempt at a learning agent playing tic-tac-toe

[INACTIVE] A collection of various machine learning solver. The library is an object-oriented approach (baked with Typescript) and tries to deliver simplified interfaces that make using the algorithms pretty simple.

A3C Reinforcement Learner for the PysSC2 API

Code for Hands On Intelligent Agents with OpenAI Gym book to get started and learn to build deep reinforcement learning agents using PyTorch

Reinforcement Learning Course Project - IIT Bombay Fall 2018

Presentations And Source Codes of My Machine Learning Mini Course

Package for rapid prototyping of reinforcement learning environments 🚀

Code for Hands On Intelligent Agents with OpenAI Gym book to get started and learn to build deep reinforcement learning agents using PyTorch

SenseAct: A computational framework for developing real-world robot learning tasks

Reinforcement Learning Agents learn with Deep-Q-Learning Network to collect superior and avoid inferior items.

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations