Comments (3)
Yeah, thanks for pointing it out.
Many extra packages are introduced by CuArrays
and Distributions
in ReinforcementBase.jl.
I think that I can move those related codes into ReinforcementLearningCore.jl to make ReinforcementLearningBase.jl really basic and lightweight.
Related codes:
from reinforcementlearningenvironments.jl.
fixed in: JuliaReinforcementLearning/ReinforcementLearningBase.jl-Archive#33 and JuliaReinforcementLearning/ReinforcementLearningCore.jl#29
from reinforcementlearningenvironments.jl.
Awesome, thanks!
from reinforcementlearningenvironments.jl.
Related Issues (20)
- TagBot trigger issue HOT 12
- DefaultStateStyleEnv doesn't work in TicTacToeEnv HOT 2
- Tried making a custom environment, the episode is not terminating HOT 4
- ReinforcementLearningZoo.jl experiments HOT 1
- Add OpenSpiel
- Make `Observation` mutable? HOT 2
- Should `seed!` be part of the interface? HOT 3
- Expectations on observation type HOT 6
- Warning: Package ReinforcementLearningEnvironments does not have PyCall in its dependencies HOT 7
- remove rng in OpenSpielEnv without chance node HOT 1
- Incorrect type when sampling from Spaces HOT 1
- Issue while using Float32 as type for the MountainCar env HOT 2
- Error while training a basic DQN in MountainCarEnv HOT 4
- Support CommonRLInterface HOT 3
- Add a general grid world environment HOT 2
- Add SnakeGame
- what happened to `render` function? HOT 2
- Port unmerged environments from FluxML/Gym.jl#37 to this package HOT 2
- Question about observation/states HOT 12
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from reinforcementlearningenvironments.jl.