​Neural MMO — A Massively Multiagent Game Environment

By OpenAI: https://blog.openai.com/neural-mmo/

- Code: https://github.com/openai/neural-mmo
- 3D Client: https://github.com/jsuarez5341/neural-mmo-client

#artificialintelligence #deeplearning #multiagent #reinforcementlearning

🔗 Neural MMO - A Massively Multiagent Game Environment
We’re releasing our Neural MMO - a massively multiagent game environment for reinforcement learning agents.

🎥 Deep Q learning is Easy in PyTorch (Tutorial)
👁 1 раз ⏳ 2055 сек.
Deep Q Learning w/ Pytorch: https://youtu.be/RfNxXlO6BiA
Where to find data for Deep Learning: https://youtu.be/9oW3WfKk6d4

#DeepQLearning #PyTorch #ReinforcementLearning

In this tutorial you will code up the simplest possible deep q network in PyTorch. We'll also correct some minor errors from previous videos, which were rather subtle.

You'll see just how easy it is to implement a deep Q network in Pytorch and beat the lunar lander environment. The agent goes from crashing on the lunar surface to landin

​Useful Models for Robot Learning
Slides by Marc Deisenroth : https://deisenroth.cc/talks/2019-12-14-neurips-ws.pdf
#ReinforcementLearning #Robotics #MetaLearning

🔗

​Deep Learning Drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
GitHub by Marimuthu Kalimuthu: https://github.com/kmario23/deep-learning-drizzle
Webpage: https://deep-learning-drizzle.github.io
#artificialintelligence #deeplearning #machinelearning #reinforcementlearning

🔗 kmario23/deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!! - kmario23/deep-learning-drizzle