AI-BS Summer School 2017 is to provide opportunities for young researchers to meet each other and learn recent studies in the field of Artificial Intelligence and Brain Science. In particular, this project gives you to enjoy deep reinforcement learning for robot control.
~$ git clone https://github.com/uchibe/ai-bs-summer17.git
$ cd ai-bs-summer17
ai-bs-summer17$ ./run ros_cpu
Now, you are in the container.
Pretrained model
python3 $ROBOSCHOOL_PATH/agent_zoo/RoboschoolHumanoidFlagrun_v1_2017jul.py
python3 $ROBOSCHOOL_PATH/agent_zoo/demo_race2.py
OpenAI Baselines is a set of implementations of reinforcement algorithms. In the container, use python3 to run the sample prorams as follows:
$ python3 -m baselines.deepq.experiments.train_cartpole
Load the model saved in cartpole_model.pkl and visualize the learned policy
python3 -m baselines.deepq.experiments.enjoy_cartpole
python3 -m baselines.deepq.experiments.train_pong
python3 -m baselines.deepq.experiments.enjoy_pong