Implementation of DQN and DDQN algorithms in Pytorch to play Atari game
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Updated
May 15, 2019 - Jupyter Notebook
Implementation of DQN and DDQN algorithms in Pytorch to play Atari game
Graph-based Deep Q Network for Web Navigation
Using DQN to train an agent to collect banana!
Deep Q-Network example from Udacity's Deep Reinforcement Learning Nanodegree.
q learning & deep q learning using pytorch
Use PyTorch to train a Deep Q Learning (DQN) agent on the CartPole-v0 task from the OpenAI Gym.
PyTorch implementation of Deep Q Learning
Basic neural nets, explained and implemented
Deep Q learning algorithm written on PyTorch for solving 2D robot arm reacher
Reinforcement Learning Tutorials & other bedtime stories in PyTorch
This is repository teaching PyTorch1.0.
DQN agent which navigates an environment and collects bananas.
Reinforcement Learning - Implementation of Exercises, algorithms from the book Sutton Barto and David silver's RL course in Python, OpenAI Gym.
Implementing Deep Q Network and its improvement techniques using Pytorch
We apply DQN algorithm to make and artificial agent learn how to land space-craft on moon.
We train an agent to manuver in a 3-D environment avoiding blue bananas and picking yellow ones as fast as possible.
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