activity
20142026
most citedThe Tsetlin Machine -- A Game Theoretic Bandit Driven Approach to Optimal Pattern Recognition with Propositional Logic

98 citations · 339 across the 69 of their papers we have counts for

collaborators
Showing 2022Show all

8 papers · 1 filter

cs.LG2022★ 2 cited

On the Equivalence of the Weighted Tsetlin Machine and the Perceptron

Jivitesh Sharma, Ole-Christoffer Granmo, Lei Jiao

Tsetlin Machine (TM) has been gaining popularity as an inherently interpretable machine leaning method that is able to achieve promising performance with low computational complexi…

cs.LG2022★ 2 cited

CostNet: An End-to-End Framework for Goal-Directed Reinforcement Learning

Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo

Reinforcement Learning (RL) is a general framework concerned with an agent that seeks to maximize rewards in an environment. The learning typically happens through trial and error…

cs.LG2022★ 1 cited

CaiRL: A High-Performance Reinforcement Learning Environment Toolkit

Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo

This paper addresses the dire need for a platform that efficiently provides a framework for running reinforcement learning (RL) experiments. We propose the CaiRL Environment Toolki…

cs.LG2022

Interpretable Option Discovery using Deep Q-Learning and Variational Autoencoders

Per-Arne Andersen, Ole-Christoffer Granmo, Morten Goodwin

Deep Reinforcement Learning (RL) is unquestionably a robust framework to train autonomous agents in a wide variety of disciplines. However, traditional deep and shallow model-free…

cs.AI2022★ 9 cited

Towards Artificial Virtuous Agents: Games, Dilemmas and Machine Learning

Ajay Vishwanath, Einar Duenger Bøhn, Ole-Christoffer Granmo +2

Machine ethics has received increasing attention over the past few years because of the need to ensure safe and reliable artificial intelligence (AI). The two dominantly used theor…

cs.SI2022

Socially Fair Mitigation of Misinformation on Social Networks via Constraint Stochastic Optimization

Ahmed Abouzeid, Ole-Christoffer Granmo, Christian Webersik +1

Recent social networks' misinformation mitigation approaches tend to investigate how to reduce misinformation by considering a whole-network statistical scale. However, unbalanced…

cs.AI2022★ 3 cited

Logic-based AI for Interpretable Board Game Winner Prediction with Tsetlin Machine

Charul Giri, Ole-Christoffer Granmo, Herke van Hoof +1

Hex is a turn-based two-player connection game with a high branching factor, making the game arbitrarily complex with increasing board sizes. As such, top-performing algorithms for…

cs.LG2022★ 5 cited

Tsetlin Machine for Solving Contextual Bandit Problems

Raihan Seraj, Jivitesh Sharma, Ole-Christoffer Granmo

This paper introduces an interpretable contextual bandit algorithm using Tsetlin Machines, which solves complex pattern recognition tasks using propositional logic. The proposed ba…