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Constrainedepisodicreinforcementlearningin concave-convexandknapsacksettings

Neural Information Processing Systems

Our approach relies on the principle ofoptimism under uncertaintyto efficiently explore. Our learning algorithms optimizetheiractions withrespect toamodel based ontheempirical statistics, while optimistically overestimating rewards and underestimating the resource consumption (i.e., overestimating the distance from the constraint).





96bf57c6ff19504ff145e2a32991ea96-Paper.pdf

Neural Information Processing Systems

Explanations forthisphenomenon arecontroversial: Whilemostworksattribute the artifacts to the generator, other works point to the discriminator. We take a sober look at those explanations and provide insights on what makes proposed measures against high-frequency artifacts effective.





Lies, horror, trauma: Kenyans recount forced Russian recruitment

The Japan Times

Charles Ojiambo Mutoka, 72, with portraits of his son Oscar, who he learned was killed in August, during a press conference where relatives of conscripts demanded urgent government action to repatriate their kin, in Nairobi on Jan. 27 | AFP-JIJI Nairobi - The scars on Victor's forearm remind him constantly of the day a Ukrainian drone attacked him after he was forcibly conscripted, like hundreds of young Kenyans, into the Russian military. It was a war that had nothing to do with him and which he was exceptionally lucky to survive. Four Kenyans -- Victor, Mark, Erik and Moses -- recounted the web of deception that took them to the killing fields of Ukraine. Their names have been changed for fear of reprisals. In a time of both misinformation and too much information, quality journalism is more crucial than ever.