Deep Nash
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DNQ: Deep Nash Q-Network for Partially Observable n-Player Games
arXiv:2606.06480v1 Announce Type: new Abstract: Many real-world competitive systems require multiple decision-makers to act simultaneously under shared constraints, limited information, and repeated interaction, as in auctions, resource allocation, and security competition. We study multi-turn simultaneous bidding as a controlled testbed for such problems and propose DNQ, a solver-in-the-loop equilibrium supervision framework for training bidding agents. DNQ alternates between trajectory...
17,000-year-old stripes of red in a Welsh cave are the oldest rock art in the UK, study finds
17,000-year-old stripes of red in a Welsh cave are the oldest rock art in the UK, study finds Over a century after a red-lined cave wall was discovered, scientists have determined that it represents the U.K.'s oldest rock art. For a century, experts dismissed a series of parallel red lines discovered in a Welsh cave as a phenomenon of nature rather than human-made rock art. But a new study shows the lines are a rare example of Paleolithic art — and at 17,000 years old, they're the earliest...
Red stripes declared U.K.’s oldest art after being dismissed as a natural phenomenon
LONDON — Dismissed as a natural phenomenon for more than a century, red stripes on a rock in Wales have been found to be the oldest known prehistoric art in Britain and northwestern Europe — created by human fingers 17,100 years ago, according to new research. An international team of scientists revisited Bacon Hole, a cave near Mumbles in South Wales, to re-examine the series of red-pigmented horizontal stripes on a panel first discovered there in 1912. The markings were initially...
Population-Aware Imitation Learning in Mean-field Games with Common Noise
arXiv:2605.03357v2 Announce Type: replace Abstract: Mean Field Games (MFGs) provide a powerful framework for modeling the collective behavior of large populations of interacting agents. In this paper, we address the problem of Imitation Learning (IL) in MFGs subject to common noise, where the population distribution evolves stochastically. This stochasticity compels agents to adopt population-aware policies to respond to aggregate shocks.
Physics-Informed Machine Learning for Short-Term Flood Prediction
arXiv:2606.04143v1 Announce Type: new Abstract: Accurate flood forecasting is essential for mitigating disaster risks and protecting communities. However, purely data-driven machine learning models often struggle in data-scarce environments and may violate fundamental hydrological principles. Standard Long Short-Term Memory (LSTM) networks can generate physically inconsistent predictions, particularly when extrapolating to extreme weather conditions.
Can a luxury wellness cruise really help you switch off?
Can a luxury wellness cruise really help you switch off? Aboard Explora I, one sceptical traveller tried sunrise yoga, sound baths and spa rituals at sea and found moments of real calm, even on a ship with hundreds of passengers. Moving through the yoga flow sequence at sunrise, I became so locked into the rhythm of my breath that my surroundings faded away.
ExoMars rover targets vast bed of clay in search for life
ExoMars rover targets vast bed of clay in search for life Lisa Lock Scientific Editor Robert Egan Associate Editor In the region where the ExoMars Rosalind Franklin rover will search for signs of life, clay deposits extend beyond previous estimates, a new study finds. One hypothesis even suggests a vast ocean once covered the landing site. Clay minerals require liquid water to form and hold clues of a time when the red planet was wetter and more hospitable to life.
Transfer class rankings: Tennessee, Texas or Louis...
Milan Momcilovic's commitment to Kentucky last week essentially closed the 2026 transfer portal cycle. The former Iowa State star was the last remaining uncommitted transfer in ESPN's top 100, and barring a surprise coaching change, the dust has mostly settled for the balance of the offseason. Comparing portal classes is an increasingly difficult task.