59 citations · 194 across the 46 of their papers we have counts for
3 papers · 2 filters
Incorporating Rivalry in Reinforcement Learning for a Competitive Game
Pablo Barros, Ana Tanevska, Ozge Yalcin +1
Recent advances in reinforcement learning with social agents have allowed us to achieve human-level performance on some interaction tasks. However, most interactive scenarios do no…
Learning from Learners: Adapting Reinforcement Learning Agents to be Competitive in a Card Game
Pablo Barros, Ana Tanevska, Alessandra Sciutti
Learning how to adapt to complex and dynamic environments is one of the most important factors that contribute to our intelligence. Endowing artificial agents with this ability is…
The Chef's Hat Simulation Environment for Reinforcement-Learning-Based Agents
Pablo Barros, Anne C. Bloem, Inge M. Hootsmans +4
To achieve social interactions within Human-Robot Interaction (HRI) environments is a very challenging task. Most of the current research focuses on Wizard-of-Oz approaches, which…