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 Proximal Policy Optimization (PPO) for discrete action spaces

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