3D-SGRL Benchmarks

该数据集是一组在3D环境中设计的基准测试，旨在用于形态无关的强化学习，允许智能体从任意配置向任意方向进行探索。它包含了多任务、零样本泛化和单任务学习场景，并提供了广泛的性能比较。数据集的规模多样，包含了训练和测试的多种变体，其任务重点在于强化学习。

This dataset is a benchmark suite designed for morphology-agnostic reinforcement learning in 3D environments, enabling agents to explore from arbitrary configurations towards any directions. It covers multi-task, zero-shot generalization and single-task learning scenarios, and supports comprehensive performance comparisons. The dataset features diverse scales, encompassing multiple variants for both training and testing, with its tasks centered on reinforcement learning.