In true Disgaea spirit, a new action-centric spin-off doesn't have one name, but three: it was released in Japan last month as Kyouran Makaism, but is also known as Makaism: Frenzy of the Netherworld.

In the post-apocalyptic world of Dungeon Crawler Carl, all of Earth’s resources have been used up by the alien-owned Borant Corporation. Life has also been devastated, with only a handful of human ...

Kelsey is an Associate Editor and Social Media Coordinator based in Charlotte, North Carolina. She holds a BA in English and psychology with an emphasis on writing from the University of South ...

Playmates Toys is kicking off this year’s Toy Fair with some marvelous news, especially for those who are fans of Matt Dinniman’s hit science-fiction and fantasy LitRPG series, Dungeon Crawler Carl.

Fantasy Flight’s 2005 board game Descent helped establish the dungeon crawler board game genre, replicating the tactical experience of playing Dungeons & Dragons but with less roleplaying and more ...

For years, the first and last word in dungeon crawler board games was Descent. The original edition in 2005 set the standard for the genre, a coffin-sized box packed with plastic miniatures and ...

Despite the convoluted journey between concept and finished product, despite all the many things that change between initial prototype and whatever ends up in players’ hands, something always remains ...

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In this tutorial, we show how we treat prompts as first-class, versioned artifacts and apply rigorous regression testing to large language model behavior using MLflow. We design an evaluation pipeline ...

If you’ve asked for a book recommendation lately, chances are you’ve been buttonholed by some goggle-eyed person babbling about boxer shorts, dungeon levels, and a tiara-wearing Persian show cat named ...

The role-playing game genre is one of video game history’s oldest and most prolific, going back to the early 1970s, long before people had computers in their homes. RPGs were a natural evolution of ...

In this tutorial, we build a safety-critical reinforcement learning pipeline that learns entirely from fixed, offline data rather than live exploration. We design a custom environment, generate a ...