Upside-Down Reinforcement Learning (⅂ꓤ) implementation in PyTorch. Based on the paper published by Jürgen Schmidhuber.
-
Updated
Aug 13, 2020 - Jupyter Notebook
Upside-Down Reinforcement Learning (⅂ꓤ) implementation in PyTorch. Based on the paper published by Jürgen Schmidhuber.
PyTorch implementation of the discrete Soft-Actor-Critic algorithm.
Implementing Deep Reinforcement Learning Algorithms in Python for use in the MuJoCo Physics Simulator
Deliverables relating to the Advanced Reinforcement Learning University Unit
Mountain Car v0 using Q-Learning
Add a description, image, and links to the discrete-action-space topic page so that developers can more easily learn about it.
To associate your repository with the discrete-action-space topic, visit your repo's landing page and select "manage topics."