Files
scenarionet/.gitignore
Quanyi Li db50bca7fd Add come updates for Neurips paper (#4)
* scenarionet training

* wandb

* train utils

* fix callback

* run PPO

* use pg test

* save path

* use torch

* add dependency

* update ignore

* update training

* large model

* use curriculum training

* add time to exp name

* storage_path

* restore

* update training

* use my key

* add log message

* check seed

* restore callback

* restore call bacl

* add log message

* add logging message

* restore ray1.4

* length 500

* ray 100

* wandb

* use tf

* more levels

* add callback

* 10 worker

* show level

* no env horizon

* callback result level

* more call back

* add diffuculty

* add mroen stat

* mroe stat

* show levels

* add callback

* new

* ep len 600

* fix setup

* fix stepup

* fix to 3.8

* update setup

* parallel worker!

* new exp

* add callback

* lateral dist

* pg dataset

* evaluate

* modify config

* align config

* train single RL

* update training script

* 100w eval

* less eval to reveal

* 2000 env eval

* new trianing

* eval 1000

* update eval

* more workers

* more worker

* 20 worker

* dataset to database

* split tool!

* split dataset

* try fix

* train 003

* fix mapping

* fix test

* add waymo tqdm

* utils

* fix bug

* fix bug

* waymo

* int type

* 8 worker read

* disable

* read file

* add log message

* check existence

* dist 0

* int

* check num

* suprass warning

* add filter API

* filter

* store map false

* new

* ablation

* filter

* fix

* update filyter

* reanme to from

* random select

* add overlapping checj

* fix

* new training sceheme

* new reward

* add waymo train script

* waymo different config

* copy raw data

* fix bug

* add tqdm

* update readme

* waymo

* pg

* max lateral dist 3

* pg

* crash_done instead of penalty

* no crash done

* gpu

* update eval script

* steering range penalty

* evaluate

* finish pg

* update setup

* fix bug

* test

* fix

* add on line

* train nuplan

* generate sensor

* udpate training

* static obj

* multi worker eval

* filx bug

* use ray for testing

* eval!

* filter senario

* id filter

* fox bug

* dist = 2

* filter

* eval

* eval ret

* ok

* update training pg

* test before use

* store data=False

* collect figures

* capture pic

---------

Co-authored-by: Quanyi Li <quanyi@bolei-gpu02.cs.ucla.edu>
2023-06-10 18:56:33 +01:00

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/scenarionet.egg-info/
*.pyc
*.egg-info
/.idea/
*.glf
*.rar
/docs/build/
/docs/.idea/
/build/
/dist/
/documentation/build/
dataset/*
**/combine/
**.json
**.log
**/tmp/**
**/failed_scenarios/
**/passed_scenarios/
**/waymo_origin
/dataset/
/scenarionet_training/wandb/*.pkl
**/TEST/
**/experiment/
**/wandb/