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Facebook wants an AI capable of winning the “hardest game in the world”

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Real-time strategy, RPG and construction games have become fertile training grounds for cutting-edge artificial intelligence systems in recent years, with digital competitors easily outperforming human opponents in everything from StarCraft II and Dota 2 to Minecraft and Go.

Now, Facebook is enlisting the help of the AI ​​community to take down NetHack – one of the most difficult titles in gaming history – and perhaps help computers learn to simulate circumstances faster and using fewer resources.

NetHack is a tactical crawler that goes through a dungeon crawler. Originally developed in the 1980s, but still actively updated today, the game doesn’t expect the player to win – it expects the player to die. And the player will die. And every time the player dies, the entire dungeon is completely reset.

Facebook wants an AI capable of winning the hardest game

The only way to really improve the game is in your ability to combine luck, out-of-the-box problem solving and old-fashioned research skills on the NetHack Wiki to learn from the woes of explorers that came before.

As part of the NeurIPS 2021 NetHack Challenge, Facebook is inviting researchers to design, train and launch AI systems capable of “developing agents who can reliably win the game or (in the most likely scenario) achieve the highest possible score.” according to an FB blog post on Wednesday. In doing so, Facebook hopes that it will not only showcase the NetHack Learning Environment as a viable reinforcement learning system, but also enable a range of potential AI/ML solutions based on neural and symbolic methodologies.

“The candidate agents will play a series of games, each with a randomly drawn character role and a fantasy race,” explained Wednesday’s post. “For a given set of agent rating episodes, the average number of episodes in which the agent completes the game will be computed, along with the average score at the end of the in-game episode. Entries will be ranked by the average number of wins and, if there is a tie, by the average score. ”

The competition runs from this month until October 15th. Winners will be announced on NeurIPS in December.

Source: gadget

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