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

Pytorch implementation of Deep Q Network (DQN) learning with vectorized environments

Pytorch implementation of Double Deep Q Network (DDQN) learning with vectorized environments

Mountain Car v0 using Q-Learning

PyTorch implementation of Monte Carlo policy gradient reinforcement

Pytorch implementation of Proximal Policy Optimization (PPO) for discrete action spaces