advantage-actor-critic topic

Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO

lcswillems

Code for Hands On Intelligent Agents with OpenAI Gym book to get started and learn to build deep reinforcement learning agents using PyTorch

PacktPublishing

Curiosity-driven Exploration by Self-supervised Prediction

jcwleo

Reinforcing Your Learning of Reinforcement Learning

Urinx

A well-documented A2C written in PyTorch

rpatrik96

Deep reinforcement learning package for torch7

Po-Hsun-Su

Deep Reinforcement Learning in Autonomous Driving: the A3C algorithm used to make a car learn to drive in TORCS; Python 3.5, Tensorflow, tensorboard, numpy, gym-torcs, ubuntu, latex

popovicidaniela

MLP-framework (pure numpy) and DDQN-framework for OpenAI's Gym games. +test code for PPO added. +Hindsight Experience Replay(HER) bitflip-DQN example. +prioritized replay.

monoelh

The friendly robot that beats you in Yahtzee 🤖 🎲

dionhaefner

Official implementation of the AAAI 2021 paper Deep Bayesian Quadrature Policy Optimization.

Akella17