For this project, you will work with the Tennis environment.
In this environment, two agents control rackets to bounce a ball over a net. If an agent hits the ball over the net, it receives a reward of +0.1. If an agent lets a ball hit the ground or hits the ball out of bounds, it receives a reward of -0.01. Thus, the goal of each agent is to keep the ball in play.
The observation space consists of 8 variables corresponding to the position and velocity of the ball and racket. Each agent receives its own, local observation. Two continuous actions are available, corresponding to movement toward (or away from) the net, and jumping.
The task is episodic, and in order to solve the environment, your agents must get an average score of +0.5 (over 100 consecutive episodes, after taking the maximum over both agents). Specifically,
- After each episode, we add up the rewards that each agent received (without discounting), to get a score for each agent. This yields 2 (potentially different) scores. We then take the maximum of these 2 scores.
- This yields a single score for each episode.
The environment is considered solved, when the average (over 100 episodes) of those scores is at least +0.5.
To run this project you will need Python 3.6. By using Conda you can create and activate an environment named drlnd, and install all required dependencies:
-
Create (and activate) a new environment with Python 3.6.
- Linux or Mac:
conda create --name drlnd python=3.6 source activate drlnd
- Windows:
conda create --name drlnd python=3.6 activate drlnd
-
Clone this repository and go to
p3_collab-compet/
folder. If you haven't already, install pip, and finally install all project dependencies.
git clone https://github.com/aamonten/p3_collab-compet.git
cd p3_collab-compet
pip install -r requirements.txt
- Create an IPython kernel for the
drlnd
environment.
python -m ipykernel install --user --name drlnd --display-name "drlnd"
-
Before running code in a notebook, change the kernel to match the
drlnd
environment by using the drop-downKernel
menu. -
Download the environment from one of the links below. You need only select the environment that matches your operating system:
- Linux: click here
- Mac OSX: click here
- Windows (32-bit): click here
- Windows (64-bit): click here
(For Windows users) Check out this link if you need help with determining if your computer is running a 32-bit version or 64-bit version of the Windows operating system.
-
Place the file in the DRLND GitHub repository, in the
p3_collab-compet/
folder, and unzip (or decompress) the file.
Follow the instructions in Tennis.ipynb
to get started with training the agent!