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cs.LG2021
The Impact of Data Distribution on Q-learning with Function Approximation
Pedro P. Santos, Diogo S. Carvalho, Alberto Sardinha +1
We study the interplay between the data distribution and Q-learning-based algorithms with function approximation. We provide a unified theoretical and empirical analysis as to how…
cs.LG2021★ 2 cited
How to Sense the World: Leveraging Hierarchy in Multimodal Perception for Robust Reinforcement Learning Agents
Miguel Vasco, Hang Yin, Francisco S. Melo +1
This work addresses the problem of sensing the world: how to learn a multimodal representation of a reinforcement learning agent's environment that allows the execution of tasks un…