jviquerat/beacon

A benchmark library for DRL-based flow control

beacon's Issues

kuramoto–sivashinsky

add control of kuramoto-sivashinsky case

https://royalsocietypublishing.org/doi/epdf/10.1098/rspa.2019.0351
https://arxiv.org/pdf/2104.05437.pdf

periodic channel

check related case here : https://arxiv.org/pdf/2308.13029.pdf

lorenz

add lorenz case

check history of observations in rayleigh + mixing

actions

output actions in single file using file-append in dump

shkadov scheme

correct doc for shkadov : fd -> fv

karman

add a von karman cylinder case

overall coherence

it would be good to revise the entire structure of an environment and make all environments very similar.
To be done once the sloshing environment works, and to report modifications to the shkadov one.

close figures

check that figures get closed during rendering

fix rayleigh

big mistake in rayleigh case, loop on segments uses same index as loop on actions.
Fix and re-run

shkadov obs

shkadov obs are the values of q but obs labels are with h in the init routine of the env

granular

add a granular case

burgers

rayleigh observations

correct rayleigh observations in documentation

numba loops

try to use loops on shkadov instead of array indexing to check speedup

rendering rayleigh

rework rayleigh rendering with subplots

sloshing boostrap

sloshing results were obtained without bootstrap -> modify and re-run

rayleigh-benard

add the rayleigh-benard cell case

general things to check before finalizing

• check that fvm solvers remain stable with lower residuals OK
• check that outputs and renderings are well formatted and stored in all envs OK
• "png" folder should become "render" folder + open folders at first rendering step (see lorenz) OK
• remove all sh and json files and store them separately
• check all default parameters OK
• nb of # in comments OK
• remove init parameter in constructors when it is not necessary OK
• check copy of previous actions OK

burgers

re-run burgers with 4000 transitions per batch and 400.000 total transitions

shorten burgers

the nb of transitions can be shortened to 250k or 300k

swimming

simplified swimming model : https://arxiv.org/pdf/2009.14280.pdf

format run.py for lorenz

shkadov fix

• fix shkadov case and doc given recent modifications
• re-test with td3/sac using random initialization