JackM323
766f2855da
Unused Exploration Bonus
2026-08-03 22:58:27 +02:00
JackM323
9d2e001ea4
Higher Height penalty
...
falling behavior was slightly positiv
therefore the penatly was increased again
2026-08-03 22:52:13 +02:00
JackM323
4fdfadfd3f
stage requirements more dependened on distance
2026-08-03 22:50:24 +02:00
JackM323
59b49d3b99
harder stage requirements
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the robot should master the stage before proceeding to the next
2026-08-03 22:39:01 +02:00
JackM323
d50d5ac14f
Metric stacking bug fixed
2026-08-03 22:30:30 +02:00
JackM323
acb3d671be
Reworked training
...
new reward/penalty system
learning phases with curriculum learning
new training parameters
cleanup of old code
better logging while training
multiple environments instead of robots (they could bumb into each other)
2026-08-03 22:27:26 +02:00
JackM323
5317ef1299
fixed env eval setup
2026-07-31 18:35:09 +02:00
JackM323
a3e46c3abf
updated evaluation code for previous env changes
...
outdated code from previous changes on env
2026-07-31 16:33:50 +02:00
JackM323
846fbfaaab
Readme reward/termination explanaition added
2026-07-31 15:56:11 +02:00
JackM323
42974fd994
Readme Updated
2026-07-31 14:50:59 +02:00
JackM323
01f993d727
new default values for training
2026-07-31 14:17:22 +02:00
JackM323
61cb0150f0
Training uses new Robot.py
...
new Metrics and SimManager for live training viewing
Robot.py usage added to machinelearning
2026-07-31 13:55:24 +02:00
JackM323
b537677277
Complete Restructered Robot Code
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Robot into its own Class instead of lose Global Variables that cause circular imports
StateClass usage instead of the old RobotState.py
New Input Class for Controller and randome intputs
2026-07-30 21:14:50 +02:00
JackM323
5448335b11
Text Metrics for Testing in the Training
2026-07-30 17:35:12 +02:00
JackM323
c5ca79a354
Machine Learning Trainer
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Training environment to make a walk model for the hexapod
generated code that will be checked
2026-07-30 17:23:36 +02:00
JackM323