PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
PyTorch implementations of deep reinforcement learning algorithms and environments
Code from the paper "Robust technical trading strategies using GP for algorithmic portfolio selection"
Project for Reinforcement Learning class.
A fast and simple framework for building and running distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
A experimental template that support discrete and continuous action games.(Pytorch)
PyTorch Implementation of REINFORCE for both discrete & continuous control
Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
