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09/12/2023
Learning Minimalistic Tsetlin Machine Clauses with Markov Boundary-Guided Pruning
A set of variables is the Markov blanket of a random variable if it cont...
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09/05/2023
DeNISE: Deep Networks for Improved Segmentation Edges
This paper presents Deep Networks for Improved Segmentation Edges (DeNIS...
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04/25/2023
Loss and Reward Weighing for increased learning in Distributed Reinforcement Learning
This paper introduces two learning schemes for distributed agents in Rei...
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03/26/2023
Contrastive Transformer: Contrastive Learning Scheme with Transformer innate Patches
This paper presents Contrastive Transformer, a contrastive learning sche...
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10/03/2022
CaiRL: A High-Performance Reinforcement Learning Environment Toolkit
This paper addresses the dire need for a platform that efficiently provi...
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10/03/2022
CostNet: An End-to-End Framework for Goal-Directed Reinforcement Learning
Reinforcement Learning (RL) is a general framework concerned with an age...
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10/03/2022
Interpretable Option Discovery using Deep Q-Learning and Variational Autoencoders
Deep Reinforcement Learning (RL) is unquestionably a robust framework to...
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07/27/2019
Towards Model-based Reinforcement Learning for Industry-near Environments
Deep reinforcement learning has over the past few years shown great pote...
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05/23/2019
Deep Q-Learning with Q-Matrix Transfer Learning for Novel Fire Evacuation Environment
We focus on the important problem of emergency evacuation, which clearly...
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10/02/2018
The Dreaming Variational Autoencoder for Reinforcement Learning Environments
Reinforcement learning has shown great potential in generalizing over ra...
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08/15/2018
Deep RTS: A Game Environment for Deep Reinforcement Learning in Real-Time Strategy Games
Reinforcement learning (RL) is an area of research that has blossomed tr...
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01/29/2018
Deep Reinforcement Learning using Capsules in Advanced Game Environments
Reinforcement Learning (RL) is a research area that has blossomed tremen...
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01/26/2018
FlashRL: A Reinforcement Learning Platform for Flash Games
Reinforcement Learning (RL) is a research area that has blossomed tremen...
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12/17/2017
Towards a Deep Reinforcement Learning Approach for Tower Line Wars
There have been numerous breakthroughs with reinforcement learning in th...
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06/23/2016