gym
pysc2
Our great sponsors
| gym | pysc2 | |
|---|---|---|
| 96 | 6 | |
| 33,873 | 7,908 | |
| 0.8% | 0.3% | |
| 0.0 | 3.1 | |
| 19 days ago | 10 months ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
gym
-
OpenAI Acquires Global Illumination
A co-founder announced they disbanded their robots team a couple years ago: https://venturebeat.com/business/openai-disbands-its-robotic...
That was the same time they depreciated OpenAI Gym: https://github.com/openai/gym
-
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:
-
Some confusion about variables and functions in mujoco-py
When I browse fetch_env.py, I have a question about the following code snippet:
-
pip install stable-baselines3[extra]
Nvm, this works for me '!pip install setuptools==65.5.0' Source: https://github.com/openai/gym/issues/3176
-
[P] Reinforcement learning evolutionary hyperparameter optimization - 10x speed up
how would this interact/compare with https://github.com/openai/gym?
- What has replaced OpenAI Retro Gym?
-
Understanding Reinforcement Learning
If you'd like to learn more about reinforcement learning or play with a number of samples in controlled environments, I highly recommend you look at the documentation for OpenAI's Gym library and particularly the basic usage page. OpenAI's Gym provides a standardized environment for performing reinforcement learning on classic Atari games and a few other platforms and should be an educational resource. If you'd like a more detailed example, check out this tutorial on Paperspace's blog.
-
Using the cross-entropy method to solve Frozen Lake
Frozen Lake is an OpenAI Gym environment in which an agent is rewarded for traversing a frozen surface from a start position to a goal position without falling through any perilous holes in the ice.
- Is there a publicly available state space model for the Lunar Lander environment?
-
How to Create a Behavioral Cloning Bot to Play Online Games?
typically a more relaxed approach is taken via reinforcement learning, but it requires that you can simulate the game via a given gamestate. take a look at e.g. https://www.gymlibrary.dev/
pysc2
- Project For Beginners [StarCraft 2 AI]
-
[D] What tool do you use for reinforcement learning experimentation?
Good evening, guys. I currently use StarCraft 2 as a tool for experimenting with my deep reinforcement learning projects, I have also used OpenAI Gym.
-
[D] Which GPU cloud do you use and recommend?
DRL experiments using StarCraft II Learning Environment.
- How A.I. Conquered Poker
-
Tips for a beginner
If you are looking to develop a machine-learning based bot you can go with pysc2: https://github.com/deepmind/pysc2
-
How AI works in big RTS games?
in terms of deepmind: https://github.com/deepmind/pysc2 source code if you want to take a look.
What are some alternatives?
ml-agents - The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.
python-sc2 - A StarCraft II bot api client library for Python 3
carla - Open-source simulator for autonomous driving research.
lolgym - PyLoL OpenAI Gym Environments for League of Legends v4.20 RL Environment (LoLRLE)
tensorflow - An Open Source Machine Learning Framework for Everyone
smac - SMAC: The StarCraft Multi-Agent Challenge
dm_control - Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
Galaxy-Observer-UI - Toolset to create Observer Interfaces for StarCraft II / Heroes of the Storm. https://ahli.github.io/Galaxy-Observer-UI/#/
open_spiel - OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.
s2client-proto - StarCraft II Client - protocol definitions used to communicate with StarCraft II.
rlcard - Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.
pylol - League of Legends v4.20 RL Environment (LoLRLE)