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What's coming up at #IJCAI2021?

AIHub

The 30th International Joint Conference on Artificial Intelligence (IJCAI-21) will run in a virtual format from August 19th to August 26th, 2021. There are a whole host of talks, workshops, tutorials, socials and competitions planned. Find out more about the various events below. An exciting programme of invited talks awaits, with eight speakers from a range of research areas. You can find out more about the speakers and their talks here.


What's happening at #NeurIPS this week?

AIHub

The conference on Neural Information Processing Systems (NeurIPS) 2020 kicked off on Sunday 6th December and will run until Saturday 12th December. Here, we give a brief summary of many of the planned sessions and events for the week ahead. The public version of the schedule can be found here. You will need to be registered to access all of the content. Note that we have included links to the public versions in this article.


NIPS 2015 Review

#artificialintelligence

NIPS 2015 was bigger than ever, literally: at circa 3700 attendees this was roughly twice as many attendees as last year, which in turn was roughly twice as many as the previous year. This is clearly unsustainable, but given the frenzied level of vendor and recruiting activities, perhaps there is room to grow. The main conference is single track, however, and already 3 days long: so even more action is moving to the poster sessions, which along with the workshops creates the feel of a diverse collection of smaller conferences. Obviously, my view of the action will be highly incomplete and biased towards my own interests. Reinforcement learning continues to ascend, extending the enthusiasm and energy from ICML.


Replay Dataquitaine: Markovian Decision Process and Reinforced Learning - Actu IA

#artificialintelligence

Dataquitaine is offering a replay of its Data Science Workshop-Webinar, organised by Digital Aquitaine, on 30 June 2020. This seminar was dedicated to the theme "Markovian Decision Process and Learning by Reinforcement" with Emmanuel Hyon. Problems related to the optimization of a system that evolves over time in a random way and under the effect of agents' actions are often modelled by Decision Processes or, when the statistics are not known, by reinforcement learning models. Such problems may be shorter stochastic paths, stock or resource management problems. SPEAKER: Emmanuel Hyon, Lip6 Lecturer-Researcher and coordinator of the working group on the stochastic optimization aspects of GDR RO, presents the theoretical principles related to the Markovian decision process and learning by reinforcement, illustrated with examples of resource sharing in a cloud.


Reports on the 2012 AIIDE Workshops

AI Magazine

The 2012 AIIDE Conference included four workshops: Artificial Intelligence in Adversarial Real-Time Games, Human Computation in Deigital Entertainment and AI for Serious Games, Intelligent Narrative Technologies, and Musican Metacreation. The workshops took place October 8-9, 2012 at Stanford University. This report contains summaries of the activities of those four workshops.