A central location for my reinforcement learning experiments

[Deprecated] Source Code Generation using Sequence Generative Adversarial Networks

implementation of SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient

Try to implement strong RL-agent

This is used for contributions to the Windows 10 TechNet content for IT professionals.

Reinforcement learning algs for Open AI gym games.

Automate swing trading using deep reinforcement learning. The deep deterministic policy gradient-based neural network model trains to choose an action to sell, buy, or hold the stocks to maximize the gain in asset value. The paper also acknowledges the need for a system that predicts the trend in stock value to work along with the reinforcement …

Reinforcement learning solutions

Deep Q-Learning Networks vs. Policy Gradient Learning in OpenAI Gym's Pong Environment

Implementation of OpenAI's Cart Pole and adjusted to incorporate reinforcement learning with policy gradients.

Reinforcement learning agents and environment for Easy21, a modified version of Blackjack

Autonomous Navigation using Deep Reinforcement Learning

My thesis work on exploring the performance impact of the exploration strategy

Example code of Logistic Regression, MLP, Policy Gradient for 2017 PyCon

emotional dialogue genertion

deep models for small image classification datasets

Implementing Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning". using TensorFlow