Residual representation learning simplifies the optimization problem of learning complex functions and has been widely used by traditional convolutional neural networks. However, it has not been applied to deep neural decision forest (NDF). In this p...
Automated planning is a prominent area of Artificial Intelligence, and an important component for intelligent autonomous agents. A cornerstone of domain-independent planning is the separation between planning logic, i.e. the automated reasoning side,...
All 25 Lick/IDS spectral indices have been computed for the integrated light of simple stellar populations over broad ranges of age and metallicity and with effects from horizontal-branch stars fully implemented. For Balmer indices a significant re...
The last two years have seen significant changes in the divine pantheon of the Lost Omens campaign setting of the Pathfinder Tabletop Roleplaying Game. First, the Pathfinder Remaster, necessitated by the Open Game License debacle, prompted the remova...
The film Her features Samantha, a sophisticated AI audio agent who is capable of understanding both linguistic and paralinguistic information in human speech and delivering real-time responses that are natural, informative and sensitive to emotional...
Agent K in The Replacements, Princess Sally Acorn in Sonic the Hedgehog, Cadpig and Rolly in 101 Dalmatians: The Series, Kat Harvey in The Spooktacular
started her career at the age of 9 when she was cast as the "Pokey Little Puppy" in the animated television film Little Golden Book Land. She has appeared
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This paper focuses on the problem of fairly and efficiently allocating resources to agents. We consider a specific setting, usually referred to as a housing market, where each agent must receive exactly one resource (and initially owns one). In this...
Public releases of the FLEE agent-based modelling code. (⭐ 19)
flee agent-based modelling code (⭐ 16)
An autonomous agent that conducts deep research on any data using any LLM providers (⭐ 25579)
Denial Logic DL, a system of justification logic, is the logic of an agent whose justified beliefs are false, who cannot avow his own propositional attitudes or believe tautologies, but who can believe contradictions. Using Artemov's natural semantic...
Jun 11, 2025 · Whether you're a software developer, business leader, or AI enthusiast looking to upskill, these five courses will equip you with the knowledge and practical skills to build, implement, …
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The rapid growth of big data and advancements in computational techniques have significantly transformed sports analytics. However, the diverse range of data sources -- including structured statistics, semi-structured formats like sensor data, and un...
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New here.. May experience ba kayo sa shop na to from Greenhills? Legit ba mga units nila and wala hidden agenda or tampering? Planning to trade in my apsc camera to a full frame.....
Recent works have studied *state entropy maximization* in reinforcement learning, in which the agent's objective is to learn a policy inducing high entropy over states visitation (Hazan et al., 2019). They typically assume full observability of the s...