Few-shot In-Context Preference Learning Using Large Language Models: Environment Details | HackerNoon
Briefly

In Table 4, we detail the observation and action dimensions, task descriptions, and task metrics for nine distinct tasks implemented in IsaacGym, providing a structured overview essential for understanding agent training.
The tasks highlighted in Table 4 are designed to challenge different aspects of the agents' capabilities, ensuring a comprehensive evaluation of performance across various dimensions.
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