policy
Implementation-of-a-Policy-Gradient-Model-using-Keras-and-a-custom-Gym-environment
mostafa-k-m · PyTorch
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Overview
Name
Implementation-of-a-Policy-Gradient-Model-using-Keras-and-a-custom-Gym-environment
Author
mostafa-k-m
Framework
PyTorch
License
unknown
Skill type
other
Evidence level
untested
Task description
This is an implementation of a policy gradient model to make predictions using reinforcement learning. This implementation is made using Keras with a custom loss function. The model is trained on a custom gym environment.
Spaces
Action space
other · 0-dim · 0Hz
Observation space
- type: other
Links
HuggingFace repo
null
Paper (arXiv)
null
Compatible robots
20anybotics-anymal-cnot in seedalohanot in seedgoogle-barkour-vbnot in seedboston-dynamics-spotnot in seedfranka-fr3not in seedgoogle-barkour-v0not in seedagilex-pipernot in seedberkeley-humanoidnot in seedbitcraze-crazyflie-2not in seedanybotics-anymal-bnot in seedagility-cassienot in seedarx-l5not in seedbooster-t1not in seedfranka-emika-pandanot in seedfranka-fr3-v2not in seeddynamixel-2rnot in seedflexiv-rizon4not in seedassetsnot in seedapptronik-apollonot in seedfourier-n1not in seed
Compatible environments
0No environments list Implementation-of-a-Policy-Gradient-Model-using-Keras-and-a-custom-Gym-environment yet.
Datasets that reference this policy
0No datasets reference Implementation-of-a-Policy-Gradient-Model-using-Keras-and-a-custom-Gym-environment yet.