Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Agent Demo List #3

Open
PaParaZz1 opened this issue Jul 9, 2021 · 6 comments
Open

Agent Demo List #3

PaParaZz1 opened this issue Jul 9, 2021 · 6 comments
Labels
discussion Discussion of a typical issue good first issue Good for newcomers

Comments

@PaParaZz1
Copy link
Member

PaParaZz1 commented Jul 9, 2021

This issue is a collection of various interesting agent demonstration trained by DI-engine, it will be updated continually.

  • Mario 1-1

    mario_trained.mp4
  • Mario 1-2

    mario_trained_1_2.mp4
  • rocket landing

    rocket_landing.mp4
  • SMAC 5m VS 6m

    5m6m.mp4
  • SMAC MMM

    mmm.mp4
  • SMAC MMM2

    mmm2.mp4
  • SMAC 3s5z

    3s5z.mp4
  • lunarlander

    lunarlander.mp4
  • gfootball

    • rule-based bot vs rule-based bot
    football_rvr.mp4
    • trained agent vs rule-based bot
    football_avr.mp4
  • slime_volley

    • rule-base bot vs trained agent

    slime_volley

@PaParaZz1 PaParaZz1 added the discussion Discussion of a typical issue label Jul 9, 2021
@PaParaZz1 PaParaZz1 pinned this issue Jul 9, 2021
@PaParaZz1 PaParaZz1 added the good first issue Good for newcomers label Jul 16, 2021
@zjowowen
Copy link
Collaborator

zjowowen commented Dec 1, 2022

  • gym-pubulley-drones
    Flythrugate
    random bot VS trained agent
flythrugate_random_vs_rl.mp4

@zjowowen
Copy link
Collaborator

zjowowen commented Jan 4, 2023

Evogym
Carrier-v0
random bot VS trained agent

Evogym.mp4

agent during early training VS trained agent

Evogym2.mp4

@zjowowen
Copy link
Collaborator

Procgen
Bigfish
random bot VS trained agent

bigfish.mp4

@timothijoe
Copy link
Contributor

Metadrive env with PPO algorithm demonstration.
Map Sequence: Straight + Intersection + Straight + Roundabout

metadrive_demonstration.mp4

@zjowowen
Copy link
Collaborator

cliffwalking agent trained by DQN
random agent vs trained agent

Project.cliffwalking.mp4

@phuongboi
Copy link

Hi @zjowowen, thank you for your sharing.
I would like to ask about fly through gate simulation, did you change the compute reward and terminal function or you use the same with original work.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
discussion Discussion of a typical issue good first issue Good for newcomers
Projects
None yet
Development

No branches or pull requests

4 participants