akolishchak / doom-net-pytorch Goto Github PK
View Code? Open in Web Editor NEWReinforcement learning models in ViZDoom environment
License: MIT License
Reinforcement learning models in ViZDoom environment
License: MIT License
I am trying to run the imitation learning code in this repo, but "test/datasets/vizdoom/cig_map02/flat.h5" is not in this repo. Could you please share the demonstration data you used when running behavior cloning.
--- Thanks Kianté
This is awesome!
I am new to all of this but trying to learn as i go, so far i have vizdoom + dependencies installed and the theano, pytorch and tensorflow examples (that came included with vizdoom) all work.
sorry for such a basic question, but how do i install this into vizdoom?
Thank you very much, any help would be greatly appreciated.
for example, what is action_set_speed_shot_backward_right meaning? thank you.
where is the doom_instance_map.py file, can't find this file
Hi,
Impressive work!
I am new to this,got an error when run the example by commands resume/test, training command works fine.
after training, got the pth file: d3_battle__ppo_cp.pth_optimizer.pth_7000.pth
I edited the ckpt path in d3_ppo.sh:
CHECK_POINT=$BASEDIR/checkpoints/d3_battle__ppo_cp.pth_optimizer.pth_7000.pth
the commands with probrom i use is:
sudo ./d3_ppo.sh test
sudo ./d3_ppo.sh resume
error message:
Traceback (most recent call last):
File "/media/shar/Runtime/LinRuntime/doom-net/src/main.py", line 43, in
model = get_model(args)
File "/media/shar/Runtime/LinRuntime/doom-net/src/model_utils.py", line 52, in get_model
model = model_classargs.model
File "/media/shar/Runtime/LinRuntime/doom-net/src/ppo.py", line 151, in init
self.model.load_state_dict(state_dict)
File "/usr/local/lib/python3.5/dist-packages/torch/nn/modules/module.py", line 777, in load_state_dict
self.class.name, "\n\t".join(error_msgs)))
RuntimeError: Error(s) in loading state_dict for BaseModel:
Missing key(s) in state_dict: "conv1.weight", "conv1.bias", "conv2.weight", "conv2.bias", "conv3.weight", "conv3.bias", "conv4.weight", "conv4.bias", "conv5.weight", "conv5.bias", "conv6.weight", "conv6.bias", "screen_features1.bias_hh", "screen_features1.weight_hh", "screen_features1.weight_ih", "screen_features1.bias_ih", "batch_norm.running_mean", "batch_norm.running_var", "batch_norm.weight", "batch_norm.bias", "action1.weight", "action1.bias", "action2.weight", "action2.bias", "value1.weight", "value1.bias", "value2.weight", "value2.bias".
Unexpected key(s) in state_dict: "state", "param_groups".
any advice how can i run it right?
thanks!!
Hi,
Just wanted know to know if you were able to train Behavioral cloning + LSTM model successfully? For me, I am not able to train it.
Hi,
Within "ppo net" in the code, when i set the --batch_size ==10, it works fine, but then i set it to 1, the network learned nothing after 10 times episodes, could you give some idea?
Thanks
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.