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
Access
Need custom rgb data?
Claru builds purpose-built datasets for simulation applications with dense human annotations and quality assurance.
Request a Sample Pack