[ICML - Not Yet Submitted]
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Updated
Dec 29, 2017 - Jupyter Notebook
[ICML - Not Yet Submitted]
ChainerRL implementation of DQN in OpenAI Gym Breakout
Learning to "play" OpenAI's CartPole with Deep Q Network using Keras.
Using Keras and Deep Q-Network to Play FlappyBird
Reinforcement Learning: The repository contains various DDPG and DQN variants of OpenAI environments
Project DQN using Openai-Gym environment
Reinforcement Learning to automatically control a car wiper system according to the weather conditions and the driver behavior.
Camera Selection Decisions using Deep Q learning
PyTorch Implementation for a Reinforcement Learning Agent (DQN) capable of playing several DOOM Scenarios
Example DQN implementation with ReLAx
BSc Thesis: Investigation of the collusive tendencies of Q-learning and DQN agents in economic environments.
Basic code for reinforcement learning and small programs.
This project involves creating a custom Blackjack environment and training an AI using reinforcement learning techniques, specifically Proximal Policy Optimization (PPO) and Deep Q-Network (DQN). The goal is to teach the AI to play Blackjack and achieve the best possible win rate.
Reinforcement Learning Scripts
Using DQN approach to resolve the LunarLander task
Repo for the Deep Reinforcement Learning Nanodegree program
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