policy
Autonomous-Taxi-Agent
AbhijeetBeedikar · PyTorch
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Overview
Name
Autonomous-Taxi-Agent
Author
AbhijeetBeedikar
Framework
PyTorch
License
MIT
Skill type
other
Evidence level
untested
Task description
A Reinforcement Learning application trained on OpenAI Gym's taxi-v3 environment. Agent was trained using double Q-Learning to get an accurate policy.
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 Autonomous-Taxi-Agent yet.
Datasets that reference this policy
0No datasets reference Autonomous-Taxi-Agent yet.