Local Optimization in Monte-Carlo Tree Search for the Traveling Salesman Problem
Published:
Enhancement of Monte-Carlo Tree Search for the Traveling Salesman Problem with 2-opt Optimization
Download here
Download the French version here
Sitemap
A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Aspiration-based Reinforcement Learning
Published:
Inspired by satisficing, we introduce a novel concept of non-maximizing agents, א-aspiring agents, whose goal is to achieve an expected gain of א. We derive aspiration-based algorithms from Q-learning and DQN.
Download here
nnterp: Neural Network Interpretation Tools for Transformer Models
Published:
A Python package for analyzing and interpreting transformer model behaviors through activation analysis and interventions, based on nnsight
Separating Tongue from Thought: Activation Patching Reveals Language-Agnostic Concept Representations in Transformers
Published:
We provide causal evidence for the existence of language-agnostic concept representations within LLMs
Download here
Using Crosscoders for Diffing Base and Instruction-Tuned Language Models
Published:
We investigate the differences between base and instruction-tuned language models using Crosscoders
Tiny-Dashboard: A Lightweight Feature Activation Analysis Tool
Published:
A minimal, hackable package for building feature activation dashboards in transformer models
Page Not Found
Page not found. Your pixels are in another canvas.
About me
About me
Page not in menu
This is a page not in th emain menu
Posts
portfolio
projects
nnterp: Neural Network Interpretation Tools for Transformer Models
Published:
A Python package for analyzing and interpreting transformer model behaviors through activation analysis and interventions, based on nnsight
Tiny-Dashboard: A Lightweight Feature Activation Analysis Tool
Published:
A minimal, hackable package for building feature activation dashboards in transformer models