policy
Customer-Simulator-Model-for-training-RL-agents
sandipcoders · PyTorch
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Overview
Name
Customer-Simulator-Model-for-training-RL-agents
Author
sandipcoders
Framework
PyTorch
License
unknown
Skill type
other
Evidence level
untested
Task description
To simulate the effect of an unknown coupon discount percentage (action), I developed a model to predict the customer's next state and reward value.predict the reward value and compare it to the actual reward value of the test data to evaluate the RL model's performance.
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 Customer-Simulator-Model-for-training-RL-agents yet.
Datasets that reference this policy
0No datasets reference Customer-Simulator-Model-for-training-RL-agents yet.