18. Červenec 2020
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.
The International Conference on Machine Learning (ICML) is the premier gathering of professionals dedicated to the advancement of the branch of artificial intelligence known as machine learning. ICML is globally renowned for presenting and publishing cutting-edge research on all aspects of machine learning used in closely related areas like artificial intelligence, statistics and data science, as well as important application areas such as machine vision, computational biology, speech recognition, and robotics. ICML is one of the fastest growing artificial intelligence conferences in the world. Participants at ICML span a wide range of backgrounds, from academic and industrial researchers, to entrepreneurs and engineers, to graduate students and postdocs.
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