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Social Interactions as Recursive MDPs
(Center for Brains, Minds and Machines (CBMM), Conference on Robot Learning (CoRL), 2021-11-08)
While machines and robots must interact with humans, providing them with social skills has been a largely overlooked topic. This is mostly a consequence of the fact that tasks such as navigation, command following, and ...
Compositional Networks Enable Systematic Generalization for Grounded Language Understanding
(Center for Brains, Minds and Machines (CBMM), Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021-11-07)
Humans are remarkably flexible when under- standing new sentences that include combinations of concepts they have never encountered before. Recent work has shown that while deep networks can mimic some human language ...
Compositional RL Agents That Follow Language Commands in Temporal Logic
(Center for Brains, Minds and Machines (CBMM), Frontiers in Robotics and AI, 2021-07-19)
We demonstrate how a reinforcement learning agent can use compositional recurrent neural net- works to learn to carry out commands specified in linear temporal logic (LTL). Our approach takes as input an LTL formula, ...