multiagent-particle-envs
ALAE
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multiagent-particle-envs | ALAE | |
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6 | 1 | |
2,188 | 3,494 | |
3.6% | - | |
0.0 | 0.0 | |
19 days ago | over 3 years ago | |
Python | Python | |
MIT License | - |
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multiagent-particle-envs
- Why is Q-learning always presented in such a math-heavy fashion? I just spent an hour dissecting this formula with a student -- only to strongly suspect there is a typo. Are there any good Q-Learning tutorials out there that *explain* the math instead of dropping it from the sky?
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Ideal size of the visual observation
Hi, I am using the MPE (https://github.com/openai/multiagent-particle-envs) and I'm planning to use a visual observation. I was wondering, what size should it be? I assume that if it is too large and the agents are only a few, I am wasting lots of compute for nothing and also the noise becomes a lot. But how to find the best size? 60x60x3 for example?
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Why does MADDPG use action log prob for Q (Critic) instead of sampled action?
Code for https://arxiv.org/abs/1706.02275 found: https://github.com/openai/multiagent-particle-envs
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I get an incredibly long error simply for trying to install an older version of Numpy
git clone https://github.com/openai/multiagent-particle-envs cd multiagent-particle-envs/ python -m venv maddpg echo env/ >> .gitignore .\maddpg\Scripts\activate pip install gym==0.10.5 pip install numpy==1.14.5
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Not as impressive as the one natural simulator that I made with visual programming languages Aka the future but this is good try for someone learning programming
If you wanted to make it an RL env that others could train, it might be a nicer looking version of https://github.com/openai/multiagent-particle-envs
ALAE
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[D] How do I make a model which takes a bedroom image as input give an output of different design of bedroom related to input image?
source link: https://github.com/podgorskiy/ALAE
What are some alternatives?
rpg_timelens - Repository relating to the CVPR21 paper TimeLens: Event-based Video Frame Interpolation
jukebox - Code for the paper "Jukebox: A Generative Model for Music"
maddpg - Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"
simsiam-cifar10 - Code to train the SimSiam model on cifar10 using PyTorch
qlib - Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.
dnn_from_scratch - A high level deep learning library for Convolutional Neural Networks,GANs and more, made from scratch(numpy/cupy implementation).
transferlearning - Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
generative-inpainting-pytorch - A PyTorch reimplementation for paper Generative Image Inpainting with Contextual Attention (https://arxiv.org/abs/1801.07892)
lightweight-gan - Implementation of 'lightweight' GAN, proposed in ICLR 2021, in Pytorch. High resolution image generations that can be trained within a day or two
denoising-diffusion-pytorch - Implementation of Denoising Diffusion Probabilistic Model in Pytorch
torch-metrics - Metrics for model evaluation in pytorch
checkface - Putting a face to a hash