package fehu
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Reinforcement learning for OCaml
Install
dune-project
Dependency
Authors
Maintainers
Sources
raven-1.0.0.alpha3.tbz
sha256=96d35ce03dfbebd2313657273e24c2e2d20f9e6c7825b8518b69bd1d6ed5870f
sha512=90c5053731d4108f37c19430e45456063e872b04b8a1bbad064c356e1b18e69222de8bfcf4ec14757e71f18164ec6e4630ba770dbcb1291665de5418827d1465
doc/fehu.envs/Fehu_envs/index.html
Module Fehu_envsSource
Built-in environments for testing and learning.
Four environments covering the standard RL benchmarks: a simple 1D walk, the classic cart-pole, a grid navigation problem, and the sparse-reward mountain car. All follow the Fehu.Env interface.
Environments
One-dimensional random walk.
5x5 grid navigation with obstacle.
Mountain car with sparse reward (MountainCar-v0).
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