Brief survey of count-based exploration strategies for reinforcement learning.
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Updated
Apr 22, 2017 - Python
Brief survey of count-based exploration strategies for reinforcement learning.
Personal site around Reinforcement Learning
cs285 homework solutions - Deep Reinforcement Learning Fall 2019
Code corresponding to the DiCyR ICLR submission, used for my first research project at ISAE-Supaero.
AWS Reinforcement Learning
A Python script that executes a RL algorithm (Temporal Difference/Q-Learning) that trains an agent inside a labyrinth to find the exit with the least number of steps possible
.NET binding for Digital Scenario Framework
A collection of experiments, code snippets, and tutorials focused on reinforcement learning. Ideal for anyone interested in learning reinforcement learning through practical examples and experiments.
Repo. MJU Graduation Thesis
Pytorch implementation of Double Deep Q Network (DDQN) learning with vectorized environments
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