Alessandro Sestini

CoRR, 2023

Improving Generalization in Game Agents with Data Augmentation in Imitation Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Towards Informed Design and Validation Assistance in Computer Games Using Imitation Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Games, 2023

Efficient Ground Vehicle Path Following in Game AI.

[BibT_eX]

[DOI]

Rodrigue de Schaetzen

Proceedings of the IEEE Conference on Games, 2023

Technical Challenges of Deploying Reinforcement Learning Agents for Game Testing in AAA Games.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Games, 2023

Generating Personas for Games with Multimodal Adversarial Imitation Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Games, 2023

2022

Contextual Decision Trees.

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

2021

Policy Fusion for Adaptive and Customizable Reinforcement Learning Agents.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE Conference on Games (CoG), 2021

Demonstration-Efficient Inverse Reinforcement Learning in Procedurally Generated Environments.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

CoRR, 2020

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

[BibT_eX]

[DOI]