Researchers introduced GTAGym, an environment built on AAA games for evaluating and reinforcement-learning agents on perception, reasoning and control tasks, addressing the difficulty of automatically verifying task outcomes that are often human-annotated. The environment targets the gap between rich AAA game testbeds and the lack of automatic task verification needed for reinforcement learning.
AAA games offer a rich testbed for evaluating agent perception, reasoning, and control. However, evaluating whether agents can complete tasks in AAA games is challenging and often human-annotated because task outcomes are often difficult to verify automatically, let alone applying it for Reinforceme
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