Frontier Research Overview
Cognitive Ability enable robots to work in uncontrolled environments and alongside humans.
We study and design cognitive systems that enable a robot to behave robustly in a variety of tasks and environments. The research topics include (i) Meta-learning, (ii) Collaborative agents, (iii) Representation and Reasoning, (iv) Reinforcement Learning, and (v) Explainable AI (XAI).
Learning to Cooperate with Unseen Agents:
We study the problem of creating agents that can cooperate with other agents even though they have not been trained with each others before. We found that better diversification in the trianing can give the agent a better generalisation ability. We also found that the cooeperative skill could be learn via meta-reinforcement learning.
For more details, see :
 Charakorn et al., AAMAS 2021.