Alessandro Sestini

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 23

Top Topics

Relational Domains

Reinforcement Learning

Partially Observable Environments

Top Venues

IEEE Trans. Games

Publications

Alessandro Sestini, Linus Gisslén, Joakim Bergdahl, Konrad Tollmar, Andrew D. Bagdanov
Automated Gameplay Testing and Validation With Curiosity-Conditioned Proximal Trajectories. IEEE Trans. Games 16 (1) (2024)
Girolamo Macaluso, Alessandro Sestini, Andrew D. Bagdanov
A Benchmark Environment for Offline Reinforcement Learning in Racing Games. CoRR (2024)
Derek Yadgaroff, Alessandro Sestini, Konrad Tollmar, Ayça Özçelikkale, Linus Gisslén
Improving Generalization in Game Agents with Data Augmentation in Imitation Learning. CEC (2024)
Joakim Bergdahl, Alessandro Sestini, Linus Gisslén
Reinforcement Learning for High-Level Strategic Control in Tower Defense Games. CoRR (2024)
Leonardo Marini, Linus Gisslén, Alessandro Sestini
Leveraging Large Language Models for Efficient Failure Analysis in Game Development. CoRR (2024)
Rodrigue de Schaetzen, Alessandro Sestini
Efficient Ground Vehicle Path Following in Game AI. CoRR (2023)
Alessandro Sestini, Joakim Bergdahl, Konrad Tollmar, Andrew D. Bagdanov, Linus Gisslén
Towards Informed Design and Validation Assistance in Computer Games Using Imitation Learning. CoG (2023)
Girolamo Macaluso, Alessandro Sestini, Andrew D. Bagdanov
Small Dataset, Big Gains: Enhancing Reinforcement Learning by Offline Pre-Training with Model Based Augmentation. CoRR (2023)
Rodrigue de Schaetzen, Alessandro Sestini
Efficient Ground Vehicle Path Following in Game AI. CoG (2023)
Jonas Gillberg, Joakim Bergdahl, Alessandro Sestini, Andrew Eakins, Linus Gisslén
Technical Challenges of Deploying Reinforcement Learning Agents for Game Testing in AAA Games. CoRR (2023)
William Ahlberg, Alessandro Sestini, Konrad Tollmar, Linus Gisslén
Generating Personas for Games with Multimodal Adversarial Imitation Learning. CoG (2023)
Derek Yadgaroff, Alessandro Sestini, Konrad Tollmar, Linus Gisslén
Improving Generalization in Game Agents with Data Augmentation in Imitation Learning. CoRR (2023)
William Ahlberg, Alessandro Sestini, Konrad Tollmar, Linus Gisslén
Generating Personas for Games with Multimodal Adversarial Imitation Learning. CoRR (2023)
Jonas Gillberg, Joakim Bergdahl, Alessandro Sestini, Andrew Eakins, Linus Gisslén
Technical Challenges of Deploying Reinforcement Learning Agents for Game Testing in AAA Games. CoG (2023)
Alessandro Sestini, Joakim Bergdahl, Konrad Tollmar, Andrew D. Bagdanov, Linus Gisslén
Towards Informed Design and Validation Assistance in Computer Games Using Imitation Learning. CoRR (2022)
Tommaso Aldinucci, Enrico Civitelli, Leonardo Di Gangi, Alessandro Sestini
Contextual Decision Trees. CoRR (2022)
Alessandro Sestini, Linus Gisslén, Joakim Bergdahl, Konrad Tollmar, Andrew D. Bagdanov
CCPT: Automatic Gameplay Testing and Validation with Curiosity-Conditioned Proximal Trajectories. CoRR (2022)
Alessandro Sestini, Alexander Kuhnle, Andrew D. Bagdanov
Policy Fusion for Adaptive and Customizable Reinforcement Learning Agents. CoG (2021)
Alessandro Sestini, Alexander Kuhnle, Andrew D. Bagdanov
Policy Fusion for Adaptive and Customizable Reinforcement Learning Agents. CoRR (2021)
Alessandro Sestini, Alexander Kuhnle, Andrew D. Bagdanov
Demonstration-Efficient Inverse Reinforcement Learning in Procedurally Generated Environments. CoG (2021)
Alessandro Sestini, Alexander Kuhnle, Andrew D. Bagdanov
Demonstration-efficient Inverse Reinforcement Learning in Procedurally Generated Environments. CoRR (2020)
Alessandro Sestini, Alexander Kuhnle, Andrew D. Bagdanov
DeepCrawl: Deep Reinforcement Learning for Turn-based Strategy Games. CoRR (2020)
Alessandro Sestini, Alexander Kuhnle, Andrew D. Bagdanov
Deep Policy Networks for NPC Behaviors that Adapt to Changing Design Parameters in Roguelike Games. CoRR (2020)