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
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 rl_migration_and_economic_policy yet.
Datasets that reference this policy
0No datasets reference rl_migration_and_economic_policy yet.