policy

autonomous-lunar-lander

alexandercartledge · Stable-Baselines3

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Overview

Name
autonomous-lunar-lander
Author
alexandercartledge
Framework
Stable-Baselines3
License
MIT
Skill type
aerial
Evidence level
untested
Task description
Deep reinforcement learning agent trained with PPO in Stable-Baselines3 to control OpenAI Gym’s LunarLander-v3 environment. Achieves >240 reward and 100% landing success vs heuristic baseline.

Spaces

Action space
other · 0-dim · 0Hz
Observation space
  • type: other

Links

HuggingFace repo
null
Paper (arXiv)
null

Compatible robots

20

Compatible environments

0

No environments list autonomous-lunar-lander yet.

Datasets that reference this policy

0

No datasets reference autonomous-lunar-lander yet.