Alessandro Sestini

Orcid: 0000-0001-5496-5770

According to our database1, Alessandro Sestini authored at least 18 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of five.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Automated Gameplay Testing and Validation With Curiosity-Conditioned Proximal Trajectories.
IEEE Trans. Games, March, 2024

Improving Conditional Level Generation using Automated Validation in Match-3 Games.
CoRR, 2024

Leveraging Large Language Models for Efficient Failure Analysis in Game Development.
Proceedings of the IEEE Conference on Games, 2024

A Benchmark Environment for Offline Reinforcement Learning in Racing Games.
Proceedings of the IEEE Conference on Games, 2024

Reinforcement Learning for High-Level Strategic Control in Tower Defense Games.
Proceedings of the IEEE Conference on Games, 2024

Improving Generalization in Game Agents with Data Augmentation in Imitation Learning.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024

2023
Small Dataset, Big Gains: Enhancing Reinforcement Learning by Offline Pre-Training with Model Based Augmentation.
CoRR, 2023

Improving Generalization in Game Agents with Data Augmentation in Imitation Learning.
CoRR, 2023

Towards Informed Design and Validation Assistance in Computer Games Using Imitation Learning.
Proceedings of the IEEE Conference on Games, 2023

Efficient Ground Vehicle Path Following in Game AI.
Proceedings of the IEEE Conference on Games, 2023

Technical Challenges of Deploying Reinforcement Learning Agents for Game Testing in AAA Games.
Proceedings of the IEEE Conference on Games, 2023

Generating Personas for Games with Multimodal Adversarial Imitation Learning.
Proceedings of the IEEE Conference on Games, 2023

2022
Contextual Decision Trees.
CoRR, 2022

CCPT: Automatic Gameplay Testing and Validation with Curiosity-Conditioned Proximal Trajectories.
CoRR, 2022

2021
Policy Fusion for Adaptive and Customizable Reinforcement Learning Agents.
Proceedings of the 2021 IEEE Conference on Games (CoG), 2021

Demonstration-Efficient Inverse Reinforcement Learning in Procedurally Generated Environments.
Proceedings of the 2021 IEEE Conference on Games (CoG), 2021

2020
Deep Policy Networks for NPC Behaviors that Adapt to Changing Design Parameters in Roguelike Games.
CoRR, 2020

DeepCrawl: Deep Reinforcement Learning for Turn-based Strategy Games.
CoRR, 2020


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