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cs.LG2022
Accounting for the Sequential Nature of States to Learn Features for Reinforcement Learning
Nathan Michlo, Devon Jarvis, Richard Klein +1
In this work, we investigate the properties of data that cause popular representation learning approaches to fail. In particular, we find that in environments where states do not s…
cs.LG2022★ 2 cited
Skill Machines: Temporal Logic Skill Composition in Reinforcement Learning
Geraud Nangue Tasse, Devon Jarvis, Steven James +1
It is desirable for an agent to be able to solve a rich variety of problems that can be specified through language in the same environment. A popular approach towards obtaining suc…