Generating Diverse Realistic Laughter for Interactive Art

no code implementations • 4 Nov 2021 • M. Mehdi Afsar, Eric Park, Étienne Paquette, Gauthier Gidel, Kory W. Mathewson, Eilif Muller

We propose an interactive art project to make those rendered invisible by the COVID-19 crisis and its concomitant solitude reappear through the welcome melody of laughter, and connections created and explored through advanced laughter synthesis approaches.

Reinforcement learning based recommender systems: A survey

no code implementations • 15 Jan 2021 • M. Mehdi Afsar, Trafford Crump, Behrouz Far

However, a new trend has emerged in the field since the introduction of deep reinforcement learning (DRL), which made it possible to apply RL to the recommendation problem with large state and action spaces.

Collaborative Filtering Q-Learning +3