gaspersic/baselines
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

Fixed typos in README (#635)

Browse Source
This commit is contained in:
Erik Doffagne
2018-10-04 19:31:22 +02:00
committed by pzhokhov
parent 394339deb5
commit 7bfbcf177e
1 changed files with 2 additions and 2 deletions
Download Patch File Download Diff File Expand all files Collapse all files

4
README.md
View File

@@ -15,7 +15,7 @@ sudo apt-get update && sudo apt-get install cmake libopenmpi-dev python3-dev zli
``` ```
### Mac OS X ### Mac OS X
Installation of system packages on Mac requires [Homebrew](https://brew.sh). With Homebrew installed, run the follwing: Installation of system packages on Mac requires [Homebrew](https://brew.sh). With Homebrew installed, run the following:
```bash ```bash
brew install cmake openmpi brew install cmake openmpi
``` ```
@@ -84,7 +84,7 @@ The hyperparameters for both network and the learning algorithm can be controlle
```bash ```bash
python -m baselines.run --alg=ppo2 --env=Humanoid-v2 --network=mlp --num_timesteps=2e7 --ent_coef=0.1 --num_hidden=32 --num_layers=3 --value_network=copy python -m baselines.run --alg=ppo2 --env=Humanoid-v2 --network=mlp --num_timesteps=2e7 --ent_coef=0.1 --num_hidden=32 --num_layers=3 --value_network=copy
``` ```
will set entropy coeffient to 0.1, and construct fully connected network with 3 layers with 32 hidden units in each, and create a separate network for value function estimation (so that its parameters are not shared with the policy network, but the structure is the same) will set entropy coefficient to 0.1, and construct fully connected network with 3 layers with 32 hidden units in each, and create a separate network for value function estimation (so that its parameters are not shared with the policy network, but the structure is the same)
See docstrings in [common/models.py](baselines/common/models.py) for description of network parameters for each type of model, and See docstrings in [common/models.py](baselines/common/models.py) for description of network parameters for each type of model, and
docstring for [baselines/ppo2/ppo2.py/learn()](baselines/ppo2/ppo2.py#L152) for the description of the ppo2 hyperparamters. docstring for [baselines/ppo2/ppo2.py/learn()](baselines/ppo2/ppo2.py#L152) for the description of the ppo2 hyperparamters.