3 papers
cs.AI2025
Learning Representations in Video Game Agents with Supervised Contrastive Imitation Learning
Carlos Celemin, Joseph Brennan, Pierluigi Vito Amadori +1
This paper introduces a novel application of Supervised Contrastive Learning (SupCon) to Imitation Learning (IL), with a focus on learning more effective state representations for…
cs.LG2024
Robust Imitation Learning for Automated Game Testing
Pierluigi Vito Amadori, Timothy Bradley, Ryan Spick +1
Game development is a long process that involves many stages before a product is ready for the market. Human play testing is among the most time consuming, as testers are required…
cs.LG2024
Behavioural Cloning in VizDoom
Ryan Spick, Timothy Bradley, Ayush Raina +2
This paper describes methods for training autonomous agents to play the game "Doom 2" through Imitation Learning (IL) using only pixel data as input. We also explore how Reinforcem…