Propose fully convolutional network with skip connection which is deeper than the network used in vanilla DQN.
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Updated
Mar 2, 2021 - Python
Propose fully convolutional network with skip connection which is deeper than the network used in vanilla DQN.
Slide presentation reviewing advances in reinforcement learning
Implementation of various Deep Q-Network (DQN) variants
Observe your machine learning to play a video game
A collection of RL algorithms written in PyTorch
Example Rainbow DQN implementation with ReLAx
Basic code for reinforcement learning and small programs.
A comparision between the performances of DQN and several of its variants using PyTorch and Pong.
Implementation of two Deep Reinforcement Learning agents for solving the lunar-lander environment.
An implementation of Deep Q-Learning Network for solving a Unity environment that can navigate and collect bananas in a large, square world.
Example Dueling DQN implementation with ReLAx
Navigating a banana world using Dueling Double DQN network
GitHub repo for first project in DRL Udacity nanodegree.
Beating Atari 2600 games using Double Deep-Q Learning with Dueling architecture
Dueling Network Architecture Implementation for Deep Reinforcement Learning
Optimizing Value-Based Reinforcement Learning Using DQN.
Applying reinforcement Learning in Super-Mario
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