RL Reinforcement Learning
Gym: A toolkit for developing and comparing reinforcement learning algorithms
Open source interface to reinforcement learning tasks. The gym library provides an easy-to-use suite of reinforcement learning tasks. import gym env = gym.make("CartPole-v1") observation = env.reset() for _ in range(1000): env.render() action = env.action_
gym.openai.com
OpenAI
OpenAI is an AI research and deployment company with the mission to ensure that artificial general intelligence benefits all of humanity.
openai.com
tensorflow/agents
TF-Agents is a library for Reinforcement Learning in TensorFlow - tensorflow/agents
github.com
Simple Reinforcement Learning with Tensorflow Part 0: Q-Learning with Tables and Neural Networks
For this tutorial in my Reinforcement Learning series, we are going to be exploring a family of RL algorithms called Q-Learning algorithms…
medium.com