Humans and models as embodied dialogue agents in text-based games

We describe new work that connects two separate threads of our previous research: (i) situated language learning in text adventure games such as (Bordes et al., AISTATS 2010) and (Weston et al, ICLR 2016); and (ii) non-situated dialogue agents such as in the recent PersonaChat dataset (Zhang et al, ACL 2018). The resulting approach aims to develop embodied agents with personas that can both act and speak, where the situated dialogue involves real language between models and humans that can be grounded within the game.