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101 stars written in Python
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Implementation of selected reinforcement learning algorithms in Tensorflow. A3C, DDPG, REINFORCE, DQN, etc.

Python 151 48 Updated May 28, 2023

CS188 Artificial Intelligence @UC Berkeley

Python 125 72 Updated Sep 30, 2016

A Resistance Capacitance Model for an Energetic Simulation of a Building

Python 121 40 Updated Mar 7, 2021

Experiments with Python imports and unit testing, with tests and modules nested at various levels, and using absolute and relative importing

Python 120 16 Updated Dec 5, 2014

Artificial Intelligence project designed by UC Berkeley. Designed game agents for the game Pacman using basic, adversarial and stochastic search algorithms, and reinforcement learning concepts

Python 119 58 Updated Mar 24, 2016
Python 114 24 Updated Apr 28, 2023

Mirror your SVN repositories to GitHub

Python 94 31 Updated Oct 3, 2021

My implementation of the Proximal Policy Optisation algorithm using Keras as a backend

Python 88 24 Updated Nov 15, 2019

Modelica models integration with Open AI Gym

Python 87 26 Updated May 12, 2022

A parallel distributed implementation of DBSCAN on Spark using Python

Python 74 26 Updated Nov 13, 2018

A platform to test reinforcement learning policies in the datacenter setting.

Python 70 25 Updated Jul 19, 2023

Code to train RL agents along with Adversarial distrubance agents

Python 66 14 Updated Mar 21, 2017

Benchmarking TD3 and DDPG on PyBullet

Python 54 7 Updated Jun 19, 2019

Intro to Artificial Intelligence (Don't steal my code bro!)

Python 50 49 Updated Apr 18, 2012

A repository of Psychrometric calculation and plotting tools

Python 42 9 Updated Oct 22, 2024

Meta-Learning Acquisition Functions for Transfer Learning in Bayesian Optimization

Python 41 13 Updated Apr 24, 2020

Continual Reinforcement Learning in 3D Non-stationary Environments

Python 39 4 Updated Jun 16, 2019
Python 37 11 Updated Nov 30, 2017

Implementation of proximal policy optimization(PPO) with tensorflow

Python 35 9 Updated Feb 10, 2018

Non stationary bandit for experiments with Reinforcement Learning

Python 34 8 Updated Mar 24, 2017

Proximal Policy Optimization with Tensorflow 2.0

Python 32 7 Updated Oct 14, 2019

This is a pip package implementing Reinforcement Learning algorithms in non-stationary environments supported by the OpenAI Gym toolkit.

Python 32 9 Updated Jun 5, 2019

A simple building energy model written in Python.

Python 31 12 Updated Feb 14, 2022

Solving openAI's game 'BipedalWalker-v2' with Deep Reinforcement Learning

Python 26 6 Updated May 26, 2020

Tensorflow implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".

Python 25 14 Updated Apr 20, 2017

🐶 Anomaly detection system for Datadog multiple metrics

Python 22 5 Updated Nov 11, 2016

fedex-commercial-invoice

Python 21 7 Updated Apr 28, 2016

Dockerfile that is used for the JModelica regression testing of the Buildings library and of BuildingsPy

Python 16 22 Updated Nov 22, 2023

A Monte Carlo Tree Search Agent used to control agents in a Pacman competition.

Python 16 17 Updated Jan 30, 2015