We study off-policy evaluation (OPE) in partially observable environments with complex observations, with the goal of developing estimators whose guarantee avoids exponential dependence on the horizon. While such estimators exist for MDPs and POMDPs can be converted to history-based MDPs, their estimation errors depend on the state-density ratio for MDPs which becomes history ratios after conversion, an exponential object. Recently, Uehara et al. (2022) proposed future-dependent value functions as a promising framework to address this issue, where the guarantee for memoryless policies depends on the density ratio over the latent state space. However, it also depends on the boundedness of the future-dependent value function and other related quantities, which we show could be exponential-in-length and thus erasing the advantage of the method. In this paper, we discover novel coverage assumptions tailored to the structure of POMDPs, such as outcome coverage and belief coverage. These assumptions not only enable polynomial bounds on the aforementioned quantities, but also lead to the discovery of new algorithms with complementary properties.

IBM requested a rematch, and its team spent the next year building even faster hardware. 'it didn't lead to the breakthroughs that allowed the [deep blue] AI to have a huge impact on the world,' says campbell, one of deep thoughts' developers. 'there are very few problems out there where, as with chess, you have all the information you could possibly need to make the right decision,' campbell adds. 'most of the time there are unknowns.

Kai-Fu Lee is a Chinese venture capitalist, technology executive, writer, and computer scientist. He is currently based in Beijing, China. Lee developed the world's first speaker-independent, continuous speech recognition system as his Ph.D. thesis at Carnegie Mellon. He later worked as an executive, first at Apple, then SGI, Microsoft, and then Google.He became the focus of a 2005 legal dispute between Google and Microsoft, his former employer, due to a one-year non-compete agreement that he signed with Microsoft in 2000 when he became its corporate vice president of interactive services.

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The last five years have witnessed a dramatic resurgence of excitement in the goal of creating intelligent machines. Technology companies are now investing billions of dollars in this field, new research laboratories are springing up around the globe, and competition for talent has become intense. In this Discourse Chris Bishop describes some of the recent technology breakthroughs which underpin this enthusiasm, and explores some of the many exciting opportunities which artificial intelligence offers. Chris Bishop is the Laboratory Director at Microsoft Research Cambridge and is a professor of computer science at the University of Edinburgh. He has extensive expertise in artificial intelligence and machine learning.

Man always has been haunted, and simultaneously thrilled, by the idea we are not alone. Long before computers were invented, monsters like Frankenstein and Jewish golem folklore normalized the fantasy of artificial intelligence. Today, companies like Google, Facebook and Microsoft, along with Chinese tech giants like Baidu, are investing billions of dollars in AI. International Data Corp. estimates AI solutions are now a $12.5 billion industry, expected to rake in $46 billion in annual revenues by 2020. But this technological progress comes with complex risks.

On today's episode, Mitch Jeserich hosts George Zarkadakis. Zarkadakis, a PhD in Artificial Intelligence, is the author of several novels including his latest book In Our Own Image: Savior or Destroyer? The book explains AI's history, technology, its potential; its manifestations in intelligent machines; its connections to neurology and consciousness, as well as -- perhaps most tellingly -- what AI reveals about us as human beings. Mitch also talks to Bart Ehrman about his book Forged: Writing in the Name of God – Why the Bible's Authors Are Not Who We Think They Are. Ehrman is a professor of religious studies at the University of North Carolina at Chapel Hill.

The last five years have witnessed a dramatic resurgence of excitement in the goal of creating intelligent machines. Technology companies are now investing billions of dollars in this field, new research laboratories are springing up around the globe, and competition for talent has become intense. In this Discourse Chris Bishop describes some of the recent technology breakthroughs which underpin this enthusiasm, and explores some of the many exciting opportunities which artificial intelligence offers. Chris Bishop is the Laboratory Director at Microsoft Research Cambridge and is a professor of computer science at the University of Edinburgh. He has extensive expertise in artificial intelligence and machine learning.