1
0
Fork 0
mirror of https://gitlab.rlp.net/mobitar/ReCo.jl.git synced 2024-12-21 00:51:21 +00:00

Add short description to all environments

This commit is contained in:
Mo8it 2022-02-08 23:45:30 +01:00
parent 1030e34d96
commit 988f51fd3f
8 changed files with 31 additions and 2 deletions

View file

@ -108,8 +108,7 @@ Run a reinforcement learning process and return the environment helper and the t
env_helper, rl_dir = run_rl(ENVTYPE) env_helper, rl_dir = run_rl(ENVTYPE)
---- ----
`ENVTYPE` has to be replaced by one of the environments named after the file names in the directory `ReCo.jl/RL/Envs`, for example: `LocalCOMEnv`. A description of an environment is included at the beginning of the corresponding file. `ENVTYPE` has to be replaced by one of the environments named after the file names in the directory `ReCo.jl/RL/Envs`, for example: `LocalCOMEnv`. A short description of an environment is included at the beginning of the corresponding file.
//TODO: Descriptions of envs
The documentation of `run_rl` includes all possible optional arguments. The documentation of `run_rl` includes all possible optional arguments.

View file

@ -1,3 +1,7 @@
"""
This environment corresponds to the center of mass with a compass strategy.
"""
using ..ReCo: ReCo using ..ReCo: ReCo
struct COMCompassEnv <: Env struct COMCompassEnv <: Env

View file

@ -1,3 +1,7 @@
"""
This environment corresponds to the local center of mass strategy.
"""
using ..ReCo: ReCo using ..ReCo: ReCo
struct LocalCOMEnv <: Env struct LocalCOMEnv <: Env

View file

@ -1,3 +1,8 @@
"""
This environment corresponds to the local center of mass strategy with an additional shape reward term.
The minimization variable of the additional reward term is the individual elliptical distance of a particle.
"""
using ..ReCo: ReCo using ..ReCo: ReCo
struct LocalCOMWithAdditionalShapeRewardEnv <: Env struct LocalCOMWithAdditionalShapeRewardEnv <: Env

View file

@ -1,3 +1,8 @@
"""
This environment corresponds to the local center of mass strategy with an additional shape reward term.
The minimization variable of the additional reward term is the absolute difference of the current value of κ to the goal value.
"""
using ..ReCo: ReCo using ..ReCo: ReCo
struct LocalCOMWithAdditionalShapeRewardEnv2 <: Env struct LocalCOMWithAdditionalShapeRewardEnv2 <: Env

View file

@ -1,3 +1,7 @@
"""
This environment corresponds to the nearest neighbor strategy.
"""
using ..ReCo: ReCo using ..ReCo: ReCo
struct NearestNeighborEnv <: Env struct NearestNeighborEnv <: Env

View file

@ -1,3 +1,7 @@
"""
This environment corresponds to the strategy of the origin of the coordinates system with a compass.
"""
using ..ReCo: ReCo using ..ReCo: ReCo
struct OriginCompassEnv <: Env struct OriginCompassEnv <: Env

View file

@ -1,3 +1,7 @@
"""
This environment corresponds to the strategy of the origin of the coordinates system.
"""
using ..ReCo: ReCo using ..ReCo: ReCo
struct OriginEnv <: Env struct OriginEnv <: Env