policy

rl_migration_and_economic_policy

igormarkov00 · PyTorch

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Overview

Name
rl_migration_and_economic_policy
Author
igormarkov00
Framework
PyTorch
License
unknown
Skill type
other
Evidence level
untested
Task description
Application of reinforcement learning methods to optimization of state migration and economic policy. Implementation of Solow Growth Model as multi-agent environment with countries as agents trained via RL-methods (DQN, Replay Buffer, Target Network).

Spaces

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

Links

HuggingFace repo
null
Paper (arXiv)
null

Compatible robots

20

Compatible environments

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Datasets that reference this policy

0

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