ViZDoom
Reinforcement Learning environments based on the 1993 game Doom :godmode: (by Farama-Foundation)
envpool
C++-based high-performance parallel environment execution engine (vectorized env) for general RL environments. (by sail-sg)
ViZDoom | envpool | |
---|---|---|
3 | 3 | |
1,669 | 1,021 | |
0.8% | 2.2% | |
8.9 | 4.2 | |
3 months ago | about 1 month ago | |
C++ | C++ | |
- | Apache License 2.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
ViZDoom
Posts with mentions or reviews of ViZDoom.
We have used some of these posts to build our list of alternatives
and similar projects.
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Reinforcement learning libraries with AlphaZero
AFAIK AlphaZero has not been used for continuous action space 3d environments like vizdoom, I wouldn't expect it to work well out of the box. There is a basic example demonstrating Q-learning on the environment: https://vizdoom.cs.put.edu.pl/tutorial#learning, as well as numerous example files of various training methods: https://github.com/Farama-Foundation/ViZDoom/tree/master/examples/python
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ViZDoom 1.2.0: Reinforcement Learning environments based on the 1993 game Doom
For more information about this release and ViZDoom, see https://github.com/Farama-Foundation/ViZDoom, and about Farama Foundation, see https://farama.org/, or join our Discord server: https://discord.gg/nhvKkYa6qX
- ViZDoom has joined the Farama Foundation
envpool
Posts with mentions or reviews of envpool.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-12-20.
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How do I improve my SB3 PPO on an EnvPool environment
I am looking to improve the overall performance as well as optimize the wall clock time. I slightly modified the code to develop a SB3 wrapper for envpool from here.
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[D] Adding a new RL environment to envpool
Envpool provides high parallelization of RL environments. Unfortunately, there are still many environments that are not supported by them. One of them is FrankaKitchen of D4RL, a library for offline RL.
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[R] EnvPool: A Highly Parallel Reinforcement Learning Environment Execution Engine
Code for https://arxiv.org/abs/2206.10558 found: https://github.com/sail-sg/envpool
What are some alternatives?
When comparing ViZDoom and envpool you can also consider the following projects:
open_spiel - OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.
ns3-gym - ns3-gym - The Playground for Reinforcement Learning in Networking Research