Miniworld
Super-mario-bros-PPO-pytorch
Miniworld | Super-mario-bros-PPO-pytorch | |
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3 | 1 | |
673 | 970 | |
1.3% | - | |
3.5 | 0.0 | |
about 1 month ago | almost 3 years ago | |
Python | Python | |
Apache License 2.0 | MIT License |
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Miniworld
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Miniworld is now mature within the Farama Foundation
Miniworld - a minimalistic 3D interior environment simulator for reinforcement learning & robotics research that allows environments to be easily edited - has now reached the mature inside Farama. You can check out the documentation at https://miniworld.farama.org, and the release notes for all the changes we’ve made to the project at https://github.com/Farama-Foundation/Miniworld/releases/tag/2.0.1.
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Build custom 3D gridworld environments
Have you checked out mini world? https://github.com/maximecb/gym-miniworld
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Training Data
i'm pretty new to this kind of learning task and i found hard to understand some base concepts. I'm studying the Decision Transformer paper and for an university problem i need to train that model using the MiniWorld environment.
Super-mario-bros-PPO-pytorch
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[AI application] AI agent plays Contra
if you are interested in Super mario bros, here you are https://github.com/uvipen/Super-mario-bros-PPO-pytorch
What are some alternatives?
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stable-baselines - A fork of OpenAI Baselines, implementations of reinforcement learning algorithms
pytorch-a2c-ppo-acktr-gail - PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).
pybullet-gym - Open-source implementations of OpenAI Gym MuJoCo environments for use with the OpenAI Gym Reinforcement Learning Research Platform.
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