Zobrazeno 1 - 2
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pro vyhledávání: '"Purves, Carlos"'
Reinforcement learning has seen increasing applications in real-world contexts over the past few years. However, physical environments are often imperfect and policies that perform well in simulation might not achieve the same performance when applie
Externí odkaz:
http://arxiv.org/abs/2211.06929
We propose a new benchmark environment for evaluating Reinforcement Learning (RL) algorithms: the PlayStation Learning Environment (PSXLE), a PlayStation emulator modified to expose a simple control API that enables rich game-state representations. W
Externí odkaz:
http://arxiv.org/abs/1912.06101