76 citations · 99 across the 10 of their papers we have counts for
4 papers · 1 filter
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…
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…
Support-weighted Adversarial Imitation Learning
Ruohan Wang, Carlo Ciliberto, Pierluigi Amadori +1
Adversarial Imitation Learning (AIL) is a broad family of imitation learning methods designed to mimic expert behaviors from demonstrations. While AIL has shown state-of-the-art pe…
Random Expert Distillation: Imitation Learning via Expert Policy Support Estimation
Ruohan Wang, Carlo Ciliberto, Pierluigi Amadori +1
We consider the problem of imitation learning from a finite set of expert trajectories, without access to reinforcement signals. The classical approach of extracting the expert's r…