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PASTOR Philippe
I-MAVION
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b2c94b5fd4d198d147d6776d436f5ba457dffe0f
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5
2_ACOSTA_CLARA
3-Bucella_Cantini
add_poetry
main
default
protected
thanos
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training mav hover v4 100+100k
3-Bucella_Cantini
3-Bucella_Cantini
cleanup for hover v4
mav v4 hover training
created new mav hover v4
Merge branch '3-Bucella_Cantini' of https://gitlab.isae-supaero.fr/p.pastor/i-mav into 3-Bucella_Cantini
changes to plots and render
update plots
changed scale in plotting training
Merge branch '3-Bucella_Cantini' of https://gitlab.isae-supaero.fr/p.pastor/i-mav into 3-Bucella_Cantini
added plot training for continued training
test on corrected multitarget v2, no difference but added for completeness
Merge branch '3-Bucella_Cantini' of gitlab.isae-supaero.fr:p.pastor/i-mav into 3-Bucella_Cantini
trained mavion hover for next 100k steps
Merge branch '3-Bucella_Cantini' of https://gitlab.isae-supaero.fr/p.pastor/i-mav into 3-Bucella_Cantini
plot terminated for mav_hover_v1
some other models for multitarget (old versions)
trained drone 2d multitarget v4, prepared finetuning for mav hover v1
saving agent at evals, new drone2d multitarget env v4
trained multitargetv3 for 30+20+30k steps
fixes to csv logging and to image rendering
Merge branch '3-Bucella_Cantini' of https://gitlab.isae-supaero.fr/p.pastor/i-mav into 3-Bucella_Cantini
fixes for drone2d multitargetv3
Merge branch '3-Bucella_Cantini' of https://gitlab.isae-supaero.fr/p.pastor/i-mav into 3-Bucella_Cantini
added drone sprite to rendering
added evals for 2D-Multitarget-v0 training, added savefig to plot reward
added script to plot reward vs distance
added memos, modified gitignore
added plotting functions
removed hovering condition from v0 and retrained the agent, in three steps. the first two of 15000 steps, the last of 20000 steps
added multitarget environment with new reward signal (v3), check drone2D_env_multitarget for specifications
added versions to drone2d multitarget, plot_logs to drone2d
trained drone 2D saving evaluations
changed timstep to tau to use new eval.py, changed config.yaml to train new model for dir-to
quick changes
Code to plot reward during training baesd on eval.csv
added new version of mavion hover that uses 1/dist as reward function, without considering error on the velocity
added second version of the mavion hover task, changing shapeof reward function and adding velocity to its criterias.
Added script to plot data fram evaluations, updated gitignore and requirements; modified eval.py to log the time.
added logs of observation and reward during evaluations
modfied online trainer and config.yaml to continue the training from a checkpoint
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