2020 - Test codes to tryout generics and agenda-group and complex events processing
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Updated
Jun 17, 2022 - Java
2020 - Test codes to tryout generics and agenda-group and complex events processing
The system generates knowledge bases that can be used by expert systems. In this case, the bases are related to the production processes of the food industry.
Refer to https://github.com/AcutronicRobotics/gym-gazebo2 for the new version
Implementation of some reinforcement learning algorithms
A Deep Learning project which designs an agent that can fly a quad-copter, and then train it using a reinforcement learning algorithm DDPG
Human-level control using Deep Reinforcement Learning (deep Q learning) in OpenAI's gym cartpole environment with pytorch
pytorch implementation for "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Sample for Spring Boot integration with Drools.
Modular pytorch implementation of PPO including in depth commentary of implementation details!
Deep Reinforcement Learning Project for Chess
This repository contains the final DRL model produced for the final competition of the Machine Learning course.
Solving the gym Pendulum-v0 environment using Policy Gradient method
Third Project from the Collaboration and Competition Lesson
Deep Reinforcement Learning (DRL) overview.
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