
Michael Bowling
@MichaelHBowling
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Professor of Computing Science at the University of Alberta. Interested in AI, machine learning, and games of all sorts.
Edmonton, Alberta
Joined March 2017
RT @AmiiThinks: @richardssutton has received the A.M. Turing Award, the highest honour in computer science. How did he get here, and what’s….
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There needs more thinking on this! Find us in the poster session Wednesday @ 4:30pm #6500.
Is there a hyperparameter crisis in reinforcement learning? Let's talk about it at NeurIPS. #NeurIPS2024
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RT @alonamarie: I was evacuated from #Jasper while camping with my husband and two young kids this week. This is my #jasperwildfire story.….
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While there's real concerns about generative AI and game dev, there's also so many new opportunities for radically new game experiences. Can't wait to see what's next, @ArtificialAgncy.
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Super excited that I've gotten to see behind the scenes of what they're doing. This is an amazing team (and I've been lucky to work with many of them) doing amazing things!.
The future of gaming is here! Today we officially emerged from stealth and announced $16M (USD) in funding. Thanks to our investors (@radicalvcfund, @Toyota_Ventures, @flyingfishVC and others) and our incredible team for getting us here. Let's go! .
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RT @montaser_fath: Are rewards always observable to the agent?. At #AAMAS 2024, I'll present Mon-MDP a novel framework where rewards are no….
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RT @RL_Conference: Thrilled to announce the first annual Reinforcement Learning Conference @RL_Conference, which will be held at UMass Amhe….
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RT @jdmartin86: Excited to announce our @RL_Conference workshop, Finding the Frame 🖼️. We encourage submissions reflecting broadly on the….
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RT @ArtificialAgncy: is building the behavior engine driving the future of interactive digital entertainment. We a….
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This is a great team doing great stuff!.
We have built DeepStack, the first AI to beat humans in no-limit poker. We are now building the next generation AI company for algorithmic trading!.We are growing our research and engineering team. If you want to work with a world class AI team led by ex-DeepMind researchers and.
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RT @finbarrtimbers: after many years of work, I've very excited that our general game playing algorithm, Student of Games, is being publish….
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RT @jdmartin86: Today at #ICML2023, I'll be presenting our work on Settling the Reward Hypothesis. Come by our p….
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RT @dabelcs: We have a new paper that I believe really helps to understand what we mean by "goals":. Settling the Reward Hypothesis (https:….
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RT @mklissar: 🎉I'm particularly excited to share this project I worked on under the guidance of @MarlosCMachado 🧙. We ask: what is the *rig….
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RT @MarlosCMachado: I'm happy to share that our paper has now been accepted in JMLR!. Temporal Abstraction in Reinforcement Learning with t….
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RT @jdmartin86: 📯Delighted to finally share our new paper.📯. Settling the Reward Hypothesis. Joint work with @MichaelHBowling, @dabelcs, @….
arxiv.org
The reward hypothesis posits that, "all of what we mean by goals and purposes can be well thought of as maximization of the expected value of the cumulative sum of a received scalar signal...
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RT @fatimadg22: @NeurIPSConf @WiMLworkshop @_LXAI This is current work I'm doing with .@jdmartin86 and @MichaelHBowling. You can watch the….
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RT @jdmartin86: Come checkout our work about learning to prioritize planning updates in model-based RL, appearing at the Workshop on Meta L….
openreview.net
We use meta learning to determine from which states planning should begin in a stochastic, non-stationary RL task.
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