Search Results for "python games q learning"
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Showing 24 open source projects for "python games q learning"
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AlphaZero.jl
A generic, simple and fast implementation of Deepmind's AlphaZero
...This makes them hardly accessible for students, researchers and hackers. Many simple Python implementations can be found on Github, but none of them is able to beat a reasonable baseline on games such as Othello or Connect Four. As an illustration, the benchmark in the README of the most popular of them only features a random baseline, along with a greedy baseline that does not appear to be significantly stronger. -
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ViZDoom
Doom-based AI research platform for reinforcement learning
ViZDoom allows developing AI bots that play Doom using only the visual information (the screen buffer). It is primarily intended for research in machine visual learning, and deep reinforcement learning, in particular. ViZDoom is based on ZDOOM, the most popular modern source-port of DOOM. This means compatibility with a huge range of tools and resources that can be used to create custom scenarios, availability of detailed documentation of the engine and tools and support of Doom community.... -
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DreamerV3
Mastering Diverse Domains through World Models
DreamerV3 is an open-source implementation of a reinforcement learning algorithm that uses world models to train intelligent agents capable of learning complex behaviors across many environments. The system works by building an internal model of the environment and then using that model to simulate possible future outcomes of actions, allowing the agent to learn from imagined experiences rather than only from real interactions. This approach enables the algorithm to efficiently learn... -
4
openage
Open source clone of the Age of Empires II engine
openage is a free cross-platform RTS game engine that provides the mechanics of Age of Empires. Using modern technologies as C++17, OpenGL/GLSL, Python, Qt5 and CMake allows people using GNU/Linux, BSD, macOS or Windows to play the game natively. Our aim is to make openage a platform for the original Age of Empires games providing the same look and feel, but with more features for modding and multiplayer. openage uses an open API powered by our human-readable configuration language nyan. We... -
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5
GemDash
Gem Dash aka Boulder or Dyna Blaster like 8-bit style game in Python
A Gem Dash is motivated from specific 8-bit games. Since it's my first code in Python, the old template gave me a good code basis to understand how to build game logic, use PyGame and create something that will work and I can finish. I can add even more game mechanics and changes. *_win include .exe (executable) *_mac include .app (in dmg, works independent) Requirements: - Python 3.13.2 or newer - Pygame 2.6.1 or newer ( terminal: pip install pygame ) Objective And Rules Of The Game: - Collect all the diamonds to open the exit to go to the next level... -
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AS Arrow
Add and Subtract game
AS refer to Add and Sub. During the game process, the card present as Arrow. Rule: Delete all card to win. User can drag and drop card from cards library to original 6 cards. At the game start, original 6 cards look like: d -b e- a -c f User can connect d, e, f cards. Once d and e are deleted, user can connect to b. Cards are positive for a, b, c, d, e, f. And then connecting card is negative. In the similar way, the next card is positive (add/plus), and then the card is... -
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Bullet Physics SDK
Real-time collision detection and multi-physics simulation for VR
This is the official C++ source code repository of the Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc. We are developing a new differentiable simulator for robotics learning, called Tiny Differentiable Simulator, or TDS. The simulator allows for hybrid simulation with neural networks. It allows different automatic differentiation backends, for forward and reverse mode gradients. TDS can be trained using Deep Reinforcement Learning, or using Gradient based optimization (for example LFBGS). ... -
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AWS GameKit Plugin for Unreal
The AWS GameKit Plugin for Unreal
AWS GameKit is an open-source engine integration toolkit for game developers who want to create high-quality, cloud-connected game features without the potentially steep learning curve for cloud service architecture and AWS. With AWS GameKit, you can deliver core functionality to your players with minimal effort and time by using pre-built AWS solutions for your game backend and integrating the features into your game. You can use the AWS GameKit game features as designed or as a launch pad... -
9
Procgen
Procedurally-Generated Game-Like Gym-Environments
Procgen (short for Procedural Generation Benchmark) is a suite of 16 procedurally generated, game-like reinforcement learning environments designed to evaluate generalization and sample efficiency in RL agents. Unlike fixed, deterministic environments, Procgen generates new levels (layouts, obstacles, visual variation) each episode, making it impossible for an agent to simply memorize trajectories. The environments are designed to run very quickly (thousands of steps per second on a single... -
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10
Neural MMO
Code for the paper "Neural MMO: A Massively Multiagent Game..."
Neural MMO is a massively multi-agent simulation environment developed by OpenAI for reinforcement learning research. It provides a persistent, procedurally generated world where thousands of agents can interact, compete, and cooperate in real time. The environment is inspired by Massively Multiplayer Online Role-Playing Games (MMORPGs), featuring resource gathering, combat mechanics, exploration, and survival challenges. Agents learn behaviors in a shared ecosystem that supports long-term... -
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Project Malmo
A platform for Artificial Intelligence experimentation on Minecraft
How can we develop artificial intelligence that learns to make sense of complex environments? That learns from others, including humans, how to interact with the world? That learns transferable skills throughout its existence, and applies them to solve new, challenging problems? Project Malmo sets out to address these core research challenges, addressing them by integrating (deep) reinforcement learning, cognitive science, and many ideas from artificial intelligence. The Malmo platform... -
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ELF (Extensive Lightweight Framework)
An End-To-End, Lightweight and Flexible Platform for Game Research
ELF (Extensive, Lightweight, and Flexible) is a high-performance platform for reinforcement learning research that unifies simulation, data collection, and distributed training. A C++ core provides fast environments and concurrent actors, while Python bindings expose simple APIs for agents, replay, and optimization loops. It supports both single-agent and multi-agent settings, with batched stepping and shared-memory queues that keep GPUs saturated during training. ELF introduced widely used... -
13
2048 Python , AI , 1 or 2 players
py 2048, a well know 2048 clone board game
Written in Python 2.7.x and pygame1.9.1~2 compliant (at least) Python 3.4 HOW TO PLAY: keyboard UP, DOWN, LEFT, RIGHT, escape to quit increase your score shifting tiles with same number. the value of resulting tile is multiplied *2. CUSTOMISE YOUR GAME: edit py2048.cfg configuration file. you can: -Change Raws and Columns amount. -Change Random range value of new tile. -Limit the maximum tile value. -Limit time allowed for movement. -Enable no movement (a new tile appear... -
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Golden Point
A simple, console-based card game, similar to some other card games.
Golden Point is a simple card game, similar to some other popular card games. The main goal of the game is to get more points then your opponent, but in the same time not to get more than 21 ("Golden Point"). During the game you get cards, which have next values: 6, 7, 8, 9, 10 - according to numbers in it's names; J - 2 points; Q - 3 points; K - 4 points; A - 11 points. In the beginning of the game you get 2 cards, and if your total points are less than 21, you can take more... -
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The goal of this project is to create a Python implementation of standard Riichi Mahjong. Code shall be properly documented and serve as a learning tool for other developers.
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Strum aims to improve your musical skills on stringed instruments; learning scales, chord construction, and how to find them on various instruments with many tunings.
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"Roberge's Used Robot (RUR) : a Python Learning Environment" is a Python implementation of a "robot environment" as introduced by R. Pattis in 1981. **It is obsolete.** See https://github.com/aroberge/rur-ple
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Match a picture with its name in the alloted time to win. This game is played like the game known as Concentration, Memory or Match. There are multiple levels, a highscore, and soundtrack. This game might be helpful to someone learning Python and pyGame
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General purpose agents using reinforcement learning. Combines radial basis functions, temporal difference learning, planning, uncertainty estimations, and curiosity. Intended to be an out-of-the-box solution for roboticists and game developers.
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Capivar Hunter is a simple 3d shooter written in Python/OpenGL intended as a learning platform to Game Development, Python and 3d Programming. Although it should be at least somewhat funny, the main objective of it is being simple and easy to extend.
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This is a PacMan Clone that we intend to program for learning Game Development. Feel free to give us your advice and tell us if you like playing it. Este es un clon del Pacman que queremos programar para aprender a Desarrollar Juegos.
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PySometric is an Isometric RPG written in Python. It uses PyGame for graphics, and will feature online play through a peer to peer network. Most of the programmers are learning how to program a 2-d game, and all new programmers are welcome.
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PySet is an incremental implementation of the classic logic/card game Set, built using Python, Simple Direct-media Library (SDL), and PyGame (a Python wrapper of the SDL API). The code is intended to assist newcomers in gradually learning these libs.
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Moebius is a mud server, written in python using (currently) MySQL as a back-end. It's design goals are to be extensible without taking the engine down, to be distributable via the database, and to allow a complete python coding/learning env online. It
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