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user of PyCMO
to train an RL agent to solve the floridistan scenario using the PyCMO Gym environment provided in update 1.4.0
I finally have RL agents in CMO
we currently only have a scripted agent solving floridistan
we refine gym_demo.py and train an RL agent to solve floridistan
gym_demo.py
we will prove that PyCMO can be used to train RL agents for CMO
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Training using REINFORCE for Mujoco
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Why
As a
user of PyCMO
I want
to train an RL agent to solve the floridistan scenario using the PyCMO Gym environment provided in update 1.4.0
So that
I finally have RL agents in CMO
Acceptance Criteria
Given
we currently only have a scripted agent solving floridistan
When
we refine
gym_demo.py
and train an RL agent to solve floridistanThen
we will prove that PyCMO can be used to train RL agents for CMO
Notes
The text was updated successfully, but these errors were encountered: