LeWAM

LeWAM PointMaze Large

Simulation training data for LeWAM, consisting of 1,000 episodes with 1,000,000 frames collected from a PointMaze environment with 2D action space.

Downloads17
Episodes1,000

Why This Matters for Physical AI

This dataset provides large-scale simulated navigation data for training reinforcement learning agents, supporting research in spatial reasoning and maze-solving policies.

Technical Profile

Modalities
rgb
Action Space
2D continuous
Environment
simulation
Task Types
navigation
Episodes
1,000
Data Format
HDF5
Part of the LeWAM family

Access

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