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Implement discrete module for observation and action spaces #26

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doctorcorral opened this issue Feb 21, 2019 · 1 comment
Open

Implement discrete module for observation and action spaces #26

doctorcorral opened this issue Feb 21, 2019 · 1 comment
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enhancement New feature or request

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@doctorcorral
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This implementation would handle an enumerable discrete set of observations and actions.
Set sizes would be the unique parameter required.
@doctorcorral doctorcorral added the enhancement New feature or request label Feb 21, 2019
@doctorcorral doctorcorral self-assigned this Feb 21, 2019
@doctorcorral doctorcorral changed the title Implement dicrete module for observation and action spaces Implement discrete module for observation and action spaces Feb 22, 2019
@doctorcorral doctorcorral mentioned this issue Feb 27, 2019
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doctorcorral pushed a commit that referenced this issue Feb 27, 2019
fix action_space integracion #26
45ecc1f
doctorcorral pushed a commit that referenced this issue Feb 27, 2019
add action_space response #26
1fa84c0
@doctorcorral doctorcorral mentioned this issue Feb 28, 2019
Merged
doctorcorral pushed a commit that referenced this issue Mar 1, 2019
refactor call for Gyx.Gym.Utils.gyx_space/1 #26¨
2b3d62a
doctorcorral pushed a commit that referenced this issue Mar 1, 2019
remove unnecesary Kernel reference for inspect #26
1b8af74
doctorcorral pushed a commit that referenced this issue Mar 1, 2019
remove unnecessary Kernel.inspect/1 call #26
179714f
doctorcorral pushed a commit that referenced this issue Mar 1, 2019
refactor utils module and test naming #26
d33ae0c
doctorcorral pushed a commit that referenced this issue Apr 2, 2019
add observation_space #26
26e1974
doctorcorral pushed a commit that referenced this issue Apr 10, 2019
add observation_space return on make() #26
3ae8db0
doctorcorral pushed a commit that referenced this issue Apr 10, 2019
add observation_space key as required by Gyx.Core.Env behaviour #26
82e73c5
doctorcorral pushed a commit that referenced this issue Apr 10, 2019
add to #26
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@doctorcorral
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Current implementation works quite well with basic examples, but Tensor spaces are still required with desirable compatibility with gym inspired Box (also te be reviewed from the current implementation)

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