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Experiment code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"

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Bumps [numpy](https://github.com/numpy/numpy) from 1.14.0 to 1.22.0. Release notes Sourced from numpy's releases. v1.22.0 NumPy 1.22.0 Release Notes NumPy 1.22.0 is a big release featuring the work of 153 contributors spread...

dependencies

The docker image that is provided (kchua/handful-of-trials) can run the mbexp.py script, but cannot run the render.py script. The error is as follows: ``` -> python scripts/render.py -env cartpole -logdir...

Hi, thanks for the work so much, I would like to ask how we can use this with another gym-like environments? For example, I create a robot simulation env that...

- `>=1.9.0` was causing a 2.x version to install which broke the code, so changed to explicitly require ==1.14.0 - Only works with tensorflow==1.14.0 and numpy==1.16.0

The log file has two separate parameters called rewards and returns. What are the differences between the two? Are there mathematical equations to define the two terms?

Addresses #1 and makes it so that you can do `pip install -e .` to install `dmbrl`.

Thank you for your great codes. I have a question for the initial variance of CEM. According your code, you used the initial variance as follows: `self.init_var = np.tile(np.square(self.ac_ub -...

Thanks for great work. I would like to ask about execution time per each environment. For example, I am running Cartpole MBExperiment. On my computer, it seems that the average...

cloning and `pip install -r requirements.txt` from scratch resulting in this error ``` Downloading/unpacking dotmap==1.2.20 (from -r requirements.txt (line 1)) Downloading dotmap-1.2.20.tar.gz Running setup.py (path:/home/jhoang/dev/handful-of-trials/env/build/dotmap/setup.py) egg_info for package dotmap Downloading/unpacking...