The good points of using SAC, Soft Actor-Critic
About SAC (Soft Actor-Critic) is a reinforcement learning algorithm that integrates elements of Q-learning (value-based learning) into the policy gradient…
MachineLearning
kevin-tofu Note : Q-Learning
About As I mentioned below article, there are many techniques that is used for Q learning. To summarize it, I…
q-Noisy Expected Hypervolume Improvement
About Various acquisition functions used in Bayesian optimization have been studied. However, in multi-objective optimization, I believe that the best…
The quality of a video from Sora
Prompt Please create a video that captures the experience of taking a slow walk through Yosemite National Park on a…
Dont do RAG
About A paper titled “Don’t Do RAG” has been published.In a time when systems using RAG (Retrieval-Augmented Generation) are highly…
How should we choose RL Algorithm?
The categoriy of RL Algorithm Reinforcement learning algorithms come in various types, and choosing the right approach is a critical…
Run Sample Code in Genesis
About I used to have a strong interest in reinforcement learning. I thought it was an amazing technology that fused…
Encode and Decode my STEP object with CAD-ReCode
About The CAD-recode is a model that outputs a code sequence to generate CAD data sequences from point clouds. The…
Point Cloud Encoding with Transformer in Michelangelo and CAD-Recode
About There is an interesting paper – CAD-Recode: Reverse Engineering CAD Code from Point Clouds -. I found it 2…
Core Parts of DeepCAD
About Methods for representing shape data using Deep Neural Networks have recently begun to be proposed, such as BrepGen, which…