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Challenges & Opportunities in Lifelong Reinforcement Learning by Katja Hoffman
Katja Hofmann · Rika Antonova · Luisa Zintgraf

Sat Jul 18 02:15 AM -- 02:45 AM (PDT) @ None

Lifelong reinforcement learning holds promise to enable autonomous decision making in applications ranging from household robotics to autonomous space exploration. In this talk we will discuss key challenges that need to be address to make progress towards this grand vision. First, we discuss the fundamental need for the community to invest in a shared understanding of problem formalizations and evaluation paradigms and benchmarks. Second, we dive deeper into ongoing work towards tackling exploration and representation in lifelong reinforcement learning. Our aim is to spark debate and inspire research in this exciting space.

Author Information

Katja Hofmann (Microsoft)
Rika Antonova (KTH Stockholm)
Luisa Zintgraf (University of Oxford)

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