Comments (1)
Hi, you do not need to call build_file.py for real_net, as stated in the README: "Before training, please call build_file.py under [environment_dir]/data/ to generate SUMO network files for small_grid and large_grid environments." Small grid is not included in paper, so no configs are given at master. You can find them in an old version: https://github.com/cts198859/deeprl_signal_control/blob/d655aa5835c7c9a008da22bd7ddcc30e2456b1a0/config/config_neighbor.ini.
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Related Issues (20)
- Adding phases. HOT 4
- Giving a minimum green duration. HOT 3
- About distance_map HOT 1
- How many steps does the neural network's lstm look past? HOT 6
- Can I use multi-threading during training? HOT 4
- Comparison between models and SUMO default traffic lights program HOT 4
- About modifing ma2c model. HOT 1
- Are there all evaluation data in one .xml file? HOT 2
- Configuration for small grid
- About A3c
- traci.exceptions.FatalTraCIError: connection closed by SUMO HOT 1
- Running DeepRL code issues HOT 3
- Is there a PyTorch version
- How to run the code
- Is there using global_reward for 'a2c', 'greedy' and independent rl? While the 'ma2c' is using the independent reward for training?
- Is there any way to accelerate this program? HOT 3
- Evaluate
- base-dir对应什么文件,在那个地方?
- Why choose the probability of the first four phases of a neighbor? HOT 1
- IA2C Issue in the large grid
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