Slide presentation reviewing advances in reinforcement learning
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Updated
Aug 29, 2021
Slide presentation reviewing advances in reinforcement learning
Propose fully convolutional network with skip connection which is deeper than the network used in vanilla DQN.
Basic code for reinforcement learning and small programs.
Observe your machine learning to play a video game
A collection of RL algorithms written in PyTorch
Example Rainbow DQN implementation with ReLAx
Implementation of various Deep Q-Network (DQN) variants
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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