ReinforcementLearningAnIntroduction.jl
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JuliaReinforcementLearning
Julia code for the book Reinforcement Learning An Introduction
Not really an issue, but following the instructions didn't work. To fix, I 1) renamed the Manifest file so it would regenerate. 2) commented out the [compat] section, so it...
This pull request changes the compat entry for the `StatsPlots` package from `0.14` to `0.14, 0.15`. This keeps the compat entries for earlier versions. Note: I have not tested your...
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low hanging fruit for a ton of performance gain. will make pr when i get the chance
currently multi-step TD has an incorrect parameter (JuliaReinforcementLearning/ReinforcementLearning.jl#648). https://github.com/JuliaReinforcementLearning/ReinforcementLearningAnIntroduction.jl/blob/e83f54055d621dbc44b205d2016c6868abf4b4a1/notebooks/Chapter09_Random_Walk.jl#L193-L216 as an example, the `n` is used as the number of time steps. however it currently corresponds to the number of...
the notebook doesn't currently reproduce figure 6.2 which uses batch updating (replays all episodes in an experience buffer until convergence). as far as i know `RL.jl` doesn't currently support this...
This pull request changes the compat entry for the `Flux` package from `0.12` to `0.12, 0.13`. This keeps the compat entries for earlier versions. Note: I have not tested your...
This pull request changes the compat entry for the `Pluto` package from `0.17` to `0.17, 0.19`. This keeps the compat entries for earlier versions. Note: I have not tested your...
This pull request changes the compat entry for the `Pluto` package from `0.17` to `0.17, 0.18`. This keeps the compat entries for earlier versions. Note: I have not tested your...
This pull request changes the compat entry for the `Distributions` package from `0.24` to `0.24, 0.25`. This keeps the compat entries for earlier versions. Note: I have not tested your...
This pull request sets the compat entry for the `Measures` package to `0.3`. This keeps the compat entries for earlier versions. Note: I have not tested your package with this...
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Julia code for the book Reinforcement Learning An Introduction