policy
Double_deep_q_learning_policy_distillation_for_optimal_execution
TosiMatte · PyTorch
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Overview
Name
Double_deep_q_learning_policy_distillation_for_optimal_execution
Author
TosiMatte
Framework
PyTorch
License
unknown
Skill type
other
Evidence level
untested
Task description
Optimal exection reinforcement learning framework with a double deep q-learning teacher trained on perfect market information trough policy distillation shares knowledge to a student network build upon a simplier double deep q-learning architecture and imperfect market information
Spaces
Action space
other · 0-dim · 0Hz
Observation space
- type: other
Links
HuggingFace repo
null
Paper (arXiv)
null
Compatible robots
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