I ran python run_birdseye.py -c configs/mcts_multi.yaml on cmd and got _data.csv file.
But when I process the result and run results_guide.ipynb, the following error occurs, and the picture is blank.

No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
Bearings Sensor & State Dependent Reward
Speedup (MCTS/DQN) = 1.00x

Bearings Sensor & Belief Dependent Reward
Speedup (MCTS/DQN) = 1.00x

Signal Strength Sensor & State Dependent Reward
Speedup (MCTS/DQN) = 1.00x

Signal Strength Sensor & Belief Dependent Reward
Speedup (MCTS/DQN) = 1.00x

Why? Please help me.
Which _data.csv files do I need to use to get your data map on results_guide.ipynb？

This issue lists Renovate updates and detected dependencies. Read the Dependency Dashboard docs to learn more.

Open

These updates have all been created already. Click a checkbox below to force a retry/rebase of any.

• Update dependency matplotlib to v3.9.1.post1
• Update dependency ipython to v8.26.0
• Update dependency scipy to v1.14.0
• Click on this checkbox to rebase all open PRs at once

Detected dependencies

• Check this box to trigger a request for Renovate to run again on this repository

I tried it on docker and this is the erroe I get:

Currently unit tests are alwyas failing with the messag:

FAILED tests/test_sigscan.py::test_sigscan - ValueError: number sections must be larger than 0.

The error seems to have been introduced in 5a0735e, as the error does not occur in prior test runs, but does occur in all subsequent test runs.

Hi
I run the run_birdseye.py file that result is KeyError :"env" ,I run this file on the terminal using the "python run_birdseye.py -c configs/dqn.yaml" command. My version of python is 3.9.13, othes requirements are same with requirements. txt file. so can help me to address this issue?I would be most grateful.

Yours
MOU

@goldfrank Can you please provide some clarity on the operations in the update_state function in state.py? We are trying to encode some specific target behavior (linear motion only, rotation at a specified radius), but we are not seeing the proper motion in the visualization of demo.ipynb. For example, why does spd = control[1] on the second code line of this function?

NameError Traceback (most recent call last)
Cell In[2], line 1
----> 1 run_filter = {'datetime_start': '2021-06-18T00:00:00', 'reward':r, 'sensor':s, 'target_start': 78, 'target_speed':1 }
2 runs = filter_runs('mcts', run_filter)
3 config = get_config('mcts', runs[0])

NameError: name 'r' is not defined

Why?

@zhampel demo.ipynb is broken after the last PR

How to obtain a graph similar to Fig. 1: State estimation and motion planning after obtaining results of the experiments form python run_birdseye.py -c configs/mcts.yaml and python run_birdseye.py -c configs/dqn.yaml ?