Comments (1)
Hi @JeremyLinky
From our experiments, we observed that using the heuristic policy gives the best results for the noise-free setting and the learned policy gives the best results for the noisy setting. This is across all methods, not specific to OccAnt. By default, we train on the noisy setting. That is why the local policy is learned during training.
from occupancyanticipation.
Related Issues (20)
- Mapper training during policy training HOT 2
- Not able to load trained models HOT 9
- How is "done" variable being defined in exploration task? HOT 1
- What's does height_thresh means when generating map? HOT 2
- RuntimeError when running run.py for training HOT 1
- How to set appropriate values in .yaml file to avoid low GPU-uti but high GPU Memory-usage? HOT 3
- Normalization of image in Mapper HOT 2
- How to generate episode datasets for exploration task after changing the height and radius of agent? HOT 2
- No module named 'habitat_baselines.common.env_utils' HOT 3
- Custom Dataset Evaluation HOT 3
- Run OccupancyAnticipation in Colab HOT 1
- What's the behind meaning of "GT_TYPE: wall_occupancy" in the configuration .yaml file? HOT 2
- Unexpected results for pre-trained model HOT 1
- RuntimeError: inverse_cuda: For batch 0: U(163642880,163642880) is zero, singular U HOT 1
- mp3d configs HOT 2
- RuntimeError: Error(s) in loading state_dict for Mapper: HOT 1
- What does map_size mean? HOT 1
- How to use AR? HOT 3
- Question about local masks
- Questions about mp3d datasets
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from occupancyanticipation.