policy
Minecraft-RL
otsolappalainen · PyTorch
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Overview
Name
Minecraft-RL
Author
otsolappalainen
Framework
PyTorch
License
unknown
Skill type
other
Evidence level
untested
Task description
A deep reinforcement learning system that trains an AI agent to play Minecraft using PPO (Proximal Policy Optimization). The system uses parallel environments and WebSocket communication between a custom Minecraft mod and Python training scripts.
Spaces
Action space
other · 0-dim · 0Hz
Observation space
- type: other
Links
HuggingFace repo
null
Paper (arXiv)
null
Compatible robots
3+17 mentioned but not in catalog yetCompatible environments
0No environments list Minecraft-RL yet.
Datasets that reference this policy
0No datasets reference Minecraft-RL yet.