Search Results for "atari"
Sort By:
Showing 14 open source projects for "atari"
View related business solutions-
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
-
$300 Free Credits to Build on Google CloudPut your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
-
1
Diffusion for World Modeling
Learning agent trained in a diffusion world model
...This approach allows training to occur in a simulated world that captures detailed visual dynamics while reducing the need for costly interactions with real environments. The system has been applied to tasks such as Atari game simulations and demonstrations involving complex environments like first-person shooter games. -
2
psgdump
Dump psg/ym chip tune files to txt and midi format
PSGDump tool is parser and converter for chip tune files. It supports PSG and YM input file formats, focusing on AY/YM chip tunes from ZX Spectrum and Atari ST. The tool produces text output of notes played and creates multi-track MIDI file. -
3
MuZero General
A commented and documented implementation of MuZero
...The repository provides a well-documented and commented implementation designed primarily for educational purposes. It allows researchers and developers to train reinforcement learning agents that can learn to play games such as Atari environments or board games. The framework is modular so that users can easily add new environments by defining the game logic and associated hyperparameters. It also includes support for distributed training, GPU acceleration, and monitoring tools for tracking learning progress. -
4
RL Baselines Zoo
A collection of 100+ pre-trained RL agents using Stable Baselines
RL Baselines Zoo is a comprehensive training framework and collection of pre-trained RL agents using Stable-Baselines3. It offers tools for training, tuning, and evaluating RL algorithms across many standard environments, including MuJoCo, Atari, and robotics simulations. Designed for reproducible RL research and benchmarking, it includes scripts, hyperparameter presets, and best practices for training robust agents. -
Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
-
5
ChainerRL
ChainerRL is a deep reinforcement learning library
ChainerRL (this repository) is a deep reinforcement learning library that implements various state-of-the-art deep reinforcement algorithms in Python using Chainer, a flexible deep learning framework. PFRL is the PyTorch analog of ChainerRL. ChainerRL has a set of accompanying visualization tools in order to aid developers' ability to understand and debug their RL agents. With this visualization tool, the behavior of ChainerRL agents can be easily inspected from a browser UI. Environments... -
6
Rainbow
Rainbow: Combining Improvements in Deep Reinforcement Learning
Combining improvements in deep reinforcement learning. Results and pretrained models can be found in the releases. Data-efficient Rainbow can be run using several options (note that the "unbounded" memory is implemented here in practice by manually setting the memory capacity to be the same as the maximum number of timesteps). -
7
Scalable Distributed Deep-RL
A TensorFlow implementation of Scalable Distributed Deep-RL
...This design allows the system to scale efficiently to hundreds of environments and billions of frames while maintaining sample efficiency and stability. The implementation supports training in DeepMind Lab (DMLab) and has also been adapted for other environments like Atari and Street View. -
8
Universe Starter Agent
A starter agent that can solve a number of universe environments
The universe-starter-agent repository is an archived OpenAI codebase designed as a starter reinforcement-learning agent that can interact with and solve tasks in OpenAI’s Universe environment platform. Its purpose is to serve as a baseline or reference implementation so researchers or developers can see how to build agents that operate in real-time, visual environments (e.g., games, browser apps) via pixel observations and keyboard/mouse actions. Under the hood, this starter agent implements... -
9
PyPong - Python Pong
Pong written in Python
Pong written in Python, build with PyGame and compiled with cx_freeze -
Build Securely on AWS with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
-
10
NEWS UPDATE - MARCH 16, 2016 <<<<BETA RELEASE NOTIFICATION>>>> This is Terofal77, otherwise known as Jake and the producer of Sundog Resurrection. I have not updated this page for quite some time as our primary project website is www.SundogResurrectionProject.com. However, I wanted to make notification that the BETA RELEASE is about to drop. Yup, at long last! Bruce "hired" me onto the Sundog Resurrection Team back in 2002 and through the years we soldiered on between periods of...
-
11
An action game developed using PyGame + Eclipse + PyDev. I thought it would be fun to recreate the classic Atari game Beserk. I would like to blend in gameplay aspects of Robotron and Realm of Impossibility (C64).
-
12
This is an attempt to make a complete, and playable atari emulator entirely in python and some common modules. Currently, it only requires PyGame 1.5.0 and Numeric.
-
13
Game engine + remake of Atari XL/XE game Robbo. Level loader is compatible with levels file of GNU Robbo project. This is NOT the same project as pyrobbo on google code.
-
14
A remake of the Atari game "The Box" from 1991. The Box is a (closed) box with unknown structure inside. Using a second, open box the player has to construct a replica of the original box with the same behaviour on balls shot in from the side.
- Previous
- You're on page 1
- Next
