lab
Arcade-Learning-Environment
lab | Arcade-Learning-Environment | |
---|---|---|
4 | 6 | |
7,002 | 2,071 | |
0.0% | 0.2% | |
0.0 | 5.3 | |
over 1 year ago | 8 days ago | |
C | C++ | |
GNU General Public License v3.0 or later | GNU General Public License v3.0 only |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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lab
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Shimmy 1.0: Gymnasium & PettingZoo bindings for popular external RL environments
This includes single-agent Gymnasium wrappers for DM Control, DM Lab, Behavior Suite, Arcade Learning Environment, OpenAI Gym V21 & V26. Multi-agent PettingZoo wrappers support DM Control Soccer, OpenSpiel and Melting Pot. For more information, read the release notes here:
- Environments that require long-term memory and reasoning
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Keys doors puzzle in dmlab30
dmlab30 is a test suite of 30 environments for Deep RL research, maintained by DeepMind. https://github.com/deepmind/lab/tree/master/game_scripts/levels/contributed/dmlab30#readme
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[R] Would DeepMind Control Suite be enough for a publication?
DeepMind Lab is also interesting: https://deepmind.com/blog/article/open-sourcing-deepmind-lab https://github.com/deepmind/lab
Arcade-Learning-Environment
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Shimmy 1.0: Gymnasium & PettingZoo bindings for popular external RL environments
This includes single-agent Gymnasium wrappers for DM Control, DM Lab, Behavior Suite, Arcade Learning Environment, OpenAI Gym V21 & V26. Multi-agent PettingZoo wrappers support DM Control Soccer, OpenSpiel and Melting Pot. For more information, read the release notes here:
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How to apply Deep RL in Arcade Learning Environment?
They are talking about this: https://github.com/mgbellemare/Arcade-Learning-Environment
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How are rewards/scores calculated in openai Gym's Atari Skiing-v0?
The code for Atari envs is not on gym, but on ALE
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Merge Dragon Bot
If you're more interested in playing games directly from pixel-level input, check out the Arcade Learning Environment, which lets you do this with all the old Atari games. You can find lots of tutorials online about using "reinforcement learning" to play these games.
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[News] The Arcade Learning Environment: Version 0.7
I glanced over everything in this post, for a more detailed explainer check out the following blog post: https://brosa.ca/blog/ale-release-v0.7 and the release notes at https://github.com/mgbellemare/Arcade-Learning-Environment/releases/tag/v0.7.0.
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ROM differences in Atari gym
I'm running some experiments on Atari via gym and have noticed that the MD5 checksums on around half of the ROMs supplied by gym[atari] differ from the MD5s listed here. Has anyone noticed this before, and would it make a difference to the results?
What are some alternatives?
ruby-fann - Ruby library for interfacing with FANN (Fast Artificial Neural Network)
Shimmy - An API conversion tool for popular external reinforcement learning environments
dm_control - Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
PettingZoo - An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities
PHP IDS - PHPIDS (PHP-Intrusion Detection System) is a simple to use, well structured, fast and state-of-the-art security layer for your PHP based web application
gym - A toolkit for developing and comparing reinforcement learning algorithms.
meltingpot - A suite of test scenarios for multi-agent reinforcement learning.
CCV - C-based/Cached/Core Computer Vision Library, A Modern Computer Vision Library
dm_memorytasks - A set of 13 diverse machine-learning tasks that require memory to solve.