Explainable ai and reinforcement learning—a systematic review of current approaches and trends
Research into Explainable Artificial Intelligence (XAI) has been increasing in recent years as
a response to the need for increased transparency and trust in AI. This is particularly …
a response to the need for increased transparency and trust in AI. This is particularly …
Explainability in deep reinforcement learning: A review into current methods and applications
T Hickling, A Zenati, N Aouf, P Spencer - ACM Computing Surveys, 2023 - dl.acm.org
The use of Deep Reinforcement Learning (DRL) schemes has increased dramatically since
their first introduction in 2015. Though uses in many different applications are being found …
their first introduction in 2015. Though uses in many different applications are being found …
Simulated learners in educational technology: A systematic literature review and a turing-like test
T Käser, G Alexandron - International Journal of Artificial Intelligence in …, 2024 - Springer
Simulation is a powerful approach that plays a significant role in science and technology.
Computational models that simulate learner interactions and data hold great promise for …
Computational models that simulate learner interactions and data hold great promise for …
(a) i will teach you to play gomoku: Exploring the use of game ai to teach people
Q Zhang, CJ MacLellan - Proceedings of the Ninth ACM Conference on …, 2022 - dl.acm.org
Artificial intelligence systems such as AlphaGo, AlphaGo Zero and AlphaZero, have
demonstrated their advantages and competency over human players. However, little …
demonstrated their advantages and competency over human players. However, little …
Learning Expert Models for Educationally Relevant Tasks Using Reinforcement Learning.
CJ MacLellan, A Gupta - International Educational Data Mining Society, 2021 - ERIC
There has been great progress towards Reinforcement Learning (RL) approaches that can
achieve expert performance across a wide range of domains. However, researchers have …
achieve expert performance across a wide range of domains. However, researchers have …
[PDF][PDF] Exploring Expertise through Visualizing Agent Policies and Human Strategies in Open-Ended Games.
S Moore, JC Stamper - EDM (Workshops), 2019 - dev.stamper.org
In this research, we explore the problem solving strategies of both humans and AI agents in
the open-ended domain of video games. We utilize data collected from several human-level …
the open-ended domain of video games. We utilize data collected from several human-level …
Policies Selection for Pedagogical Agent Based on the Roulette Wheel Algorithm
FM Talavera-Mendoza… - … on Information and …, 2021 - ieeexplore.ieee.org
Pedagogical agents are computational entities that interact with users and facilitate learning
opportunities. They usually need to be programmed to follow a set of commands for an …
opportunities. They usually need to be programmed to follow a set of commands for an …
[PDF][PDF] Policies selection for pedagogical agent based on the roulette wheel algorithm
DA Deza Veliz - 2021 - repositorio.unsa.edu.pe
Pedagogical agents are computational entities that interact with users and facili tate learning
opportunities. They usually need to be programmed to follow a set of commands for an …
opportunities. They usually need to be programmed to follow a set of commands for an …