pytorch.rl.learning
Set this root dir as PYTHONPATH.
PYTHONPATH
export PYTHONPATH=$(pwd)
predl contains some algorithms without Deep Learning. Here, PyTorch is just numpy-alternative.
lookup table
n-step SARSA
SARSA(λ)
Q-Learning
SARSA
DynaQ (Model Free Approach)
function approximation
Q-learning
policy gradient
REINFORCE
REINFORCE with baseline
actor-critic
dl contains some algorithms using DL.
Deep Q-Network
cd dl/dqn python exec.py [--env Pong ...] # `python exec.py -h` for help --- tensorboard log_dir runs
gym
gym requires a lot depends on your environment thus read the official document before using pip.
PyTorch
matplotlib
tensorboard-pytorch
pip install tensorboardX
UCL Course on RL by David Silver, DeepMind.
I mainly learned RL in this lecture.
Lecture videos are available on YouTube
Richard S. Sutton and Andrew G. Barto Reinforcement Learning: An Introduction. 2017.
online draft is available
Introduction to reinforcement learning and OpenAI Gym by Justin Francis
Good introduction to OpenAI Gym
牧野貴樹ほか.これからの強化学習.2016.
基礎から応用まで扱っています
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