Loading
0 Follower
0 Following
marcalexandre_cote

Badges

0
0
0

Activity

Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
Jan
Feb
Mar
Mon
Wed
Fri

Ratings Progression

Loading...

Challenge Categories

Loading...

Challenges Entered

Latest submissions

No submissions made in this challenge.

Interactive embodied agents for Human-AI collaboration

Latest submissions

See All
graded 198866

Use an RL agent to build a structure with natural language inputs

Latest submissions

See All
graded 198866
graded 194590

Language assisted Human - AI Collaboration

Latest submissions

No submissions made in this challenge.
Participant Rating
Participant Rating
marcalexandre_cote has not joined any teams yet...

NeurIPS 2022 IGLU Challenge

How the world state can be parsed/ visualized

Over 1 year ago

The step files correspond to the raw data from the data collection process. For defining the RL tasks in gridworld, we only used information about the initial position/camera of the avatar, the ending state of the world (i.e., target_grid).

How to parse the world state

Over 1 year ago

So util functions were added to the recent version of gridworld.

Gridworld.tasks

Over 1 year ago

Hi. Thanks for reaching out. You should be able to install the IGLU gridworld using one of the procedure listed here: GitHub - iglu-contest/gridworld: A reinforcement learning environment for the IGLU 2022 at NeurIPS

Let us know what is the error you are getting, so we can better assist you.

Getting run failures without any logs

Over 1 year ago

@dipam can you help with that? I can’t see any logs either.

Some question about data

Over 1 year ago

Hi, I believe the preferred way to load the data is to use the IGLUDataset class.

See Dataset section of the starter kit.

@artem_zholus feel free to add anything.

How to save total processes by video

Over 1 year ago

Hi, you check code examples in the gridworld repo to see how to generate a video. For instance, use the following to try it out

IGLU_RENDER_REALTIME=1 IGLU_HEADLESS=0 python run_env.py

@artem_zholus might have more precision on this but that should get you started.

Computation resource limit in evaluation for IGLU NLP task

Over 1 year ago

Hi, the resources and limits can be found in the starting kit for the NLP track.

The time allotted for the ranker is 60 minutes and for the classifier it is 30 minutes.

The current resources available are:

  • 1 NVIDIA T4 GPU with 16 GB Mem
  • 8 vCPUs
  • 56GB RAM

How the world state can be parsed/ visualized

Over 1 year ago

@artem_zholus can you help answer this question? Thanks.

In the RL Task, can we do pre-training (e.g. imitation learning) with a dataset?

Over 1 year ago

Yes, those datasets can be used for supervised learning (either as a pretraining step or as an imitation learning approach). We have held out tasks to test for generalization.

Advanced Baseline for RL task NeurIPS 2022 IGLU

Over 1 year ago

For the benefit of others stumbling on this post. There’s an active discussion about this issue on our Slack where a potential workaround has been suggested.

marcalexandre_cote has not provided any information yet.