This is a demo of a self driving car in python using PyTorch and Kivy
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Updated
Dec 14, 2017 - Python
This is a demo of a self driving car in python using PyTorch and Kivy
Robotic Grasping with Reinforcement Learning.
Project 1, Navigation, Deep Reinforcement Learning ND, Udacity
Class project with DeepQ learning for SuperMario
Solving the Lunar Lander environment in OpenAI gym using Deep RL methods.
Heuristics, Game programming and Reinforcement Learning Based Games
AI cup competition code for optimum strategy
Using Deep Q Learning to solve a maze
Recommendation System using Deep Q-Networks and Double Deep Q-Networks
Reinforcement learning using CARLA simulator
scalable C++ and python binding framework for Scientific Computing and Machine Learning
The purpose of this project is to train a Deep Q-Network agent (https://daiwk.github.io/assets/dqn.pdf) using the OpenAI Gym environment (https://gym.openai.com/) to play the famous Atari game BreakOut. The DQN agent has 3 main components: the online Q-network, the target Q-network, and a replay buffer.
Solving MountainCar-v0 environment in Keras with Deep Q Learning an Deep Reinforcement Learning algorithm
Use Deep Q-Learning model to optimize energy consumption of a data center
This project investigates the intuitions/ideas behind Double DQN, and evaluate how much it can improve Q-value overestimation and agent performance. We aim to describe how the learning/update process in Double DQN ends up with better Q-value estimates and agent performance when comparing to that of DQN.
Using Duelling Double Deep Q-Networks to solve a Unity-based Reinforcement Learning Environment
Agents for various games
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