Fun with Reinforcement Learning in my spare time
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Updated
Jan 20, 2020 - Jupyter Notebook
Fun with Reinforcement Learning in my spare time
Personal Deep Reinforcement Learning class notes
Model based Reinforcement Learning (DynaQ) to navigate an agent in a maze
Model-based Reinforcement Learning Framework
A curated list of awesome Model-based reinforcement learning resources
A curated list of awesome Model-based reinforcement learning resources
Pytorch implementation of Model Predictive Control with learned models
An "over-optimistic" effort to read and summarize a Deep Reinforcement Learning based paper a day 🤩 👊
Personal notes about scientific and research works on "Decision-Making for Autonomous Driving"
Control simulation of a mass-spring-damper system using a model-based reinforcement learning algorithm
OpenAI Gym blackjack environment (v1)
Soft Actor-Critic implementation with SOTA model-free extension (REDQ) and SOTA model-based extension (MBPO).
JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"
The repo for the FERMI FEL paper using model-based and model-free reinforcement learning methods to solve a particle accelerator operation problem.
Code for "Dream and Search to Control: Latent Space Planning for Continuous Control"
Code for "World Model as a Graph: Learning Latent Landmarks for Planning" (ICML 2021 Long Presentation)
Model-based reinforcement learning in TensorFlow
This is the official PyTorch implementation of my Master thesis. The main goal of this work was to optimize latent dynamics models with unsupervised representation learning.
Deep active inference agents using Monte-Carlo methods
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