Historically, significant progress in the area of reinforcement learning (RL) has resulted from simulation environments in games such as Dota 2, Minecraft and StarCraft II. Unfortunately, these developments came with a taxing amount of computation, typically requiring the usage of thousands of GPUs at once for just one experiment. Even despite these costs, many of these RL methods didn't prove to be very applicable to solving real-world issues.
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Facebook to launch NetHack Challenge at NeurIPS 2021
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