Comments (1)
I am not able to reproduce this error. The script is running on my end with the command you give, with the latest version of the code. Did you change anything in the code, or are you running it straight from master? This error should not happen, because infos is not a list but a dict
pytorch-maml-rl/maml_rl/envs/utils/sync_vector_env.py
Lines 60 to 61 in 21d4ba1
from pytorch-maml-rl.
Related Issues (20)
- AttributeError: Can't pickle local object 'make_env.<locals>._make_env' HOT 4
- if i want employe this work to a new env, what should i do HOT 7
- Cuda Support Issue HOT 2
- what is the mean of train_episodes and valid_episodes? HOT 4
- If I want to use the the meta-parameters to adapt to new task, what should I do? HOT 2
- Fails to converge on bandit tasks HOT 1
- Can not read your env in the Jupyter HOT 1
- how can I adapt maml on my own environment? HOT 1
- How do you get the baseline curve in Fig5 in your paper? HOT 1
- train_returns and valid_returns seems to be equal
- where to setup render value of mujoco environment? HOT 1
- is it posible to combine DPPG with MAML?
- How to solve the problem of Nan value during training?
- The progress bar doesn't increase at all HOT 4
- raise EOFError
- EOFError BrokenPipeError: [WinError 109]
- Traceback (most recent call last): File "D:\Anaconda3\envs\testenv\lib\multiprocessing\process.py", line 258, in _bootstrap self.run() File "F:\aa_maml\MAML-Pytorch-RL-master\maml_rl\envs\subproc_vec_env.py", line 61, in run command, data = self.remote.recv() File "D:\Anaconda3\envs\testenv\lib\multiprocessing\connection.py", line 312, in _recv_bytes nread, err = ov.GetOverlappedResult(True) File "D:\Anaconda3\envs\testenv\lib\multiprocessing\connection.py", line 250, in recv buf = self._recv_bytes() File "D:\Anaconda3\envs\testenv\lib\multiprocessing\connection.py", line 321, in _recv_bytes raise EOFError EOFError BrokenPipeError: [WinError 109] I run the code on win10 but this error occurred.
- Sync Vec porting
- After running the train.py, error "Unable to solve the normal equations in `LinearFeatureBaseline`. The matrix X^T*X (with X the design matrix) is not full-rank, regardless of the regularization (maximum regularization: 1.0)." occurs.
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 pytorch-maml-rl.