These are 3 Assignments I did during taking the course Reinforcement Learning
-
Updated
Oct 6, 2024 - Jupyter Notebook
These are 3 Assignments I did during taking the course Reinforcement Learning
RLjs currently serves as an interactive playground for learning reinforcement learning.
Code for Prediction and Planning Under Uncertainty (PPUU) in an Autonomous Ferry Navigation setting
Gym Armed Bandits is an environment bundle for OpenAI Gym
A novel approach to solve Contextual Reinforcement Learning
Multiple Generation Based Knowledge Distillation: A Roadmap
(Explainable) Algorithmic Recourse with Reinforcement Learning and MCTS (FARE and E-FARE)
High-fidelity cartpole environment for reinforcement learning
Please don't feed a gamblers addiction
"Towards Optimized Traffic Light Systems using Multi-Agent Reinforcement Learning" paper code. Group project as part of my Erasmus Exchange at Aalborg Universitet, Denmark.
Work for CDC2020
Master thesis on finding optimal path for infinite horizon problem
My implementation of Hindsight replay in PyTorch: "Hindsight Experience Replay"
Using RL to control a double-jointed robot to reach target locations
My implementations of popular reinforcement learning methods based on other developers and research papers.
Gradient Free Reinforcement Learning solving Openai gym LunarLanderV2 by Evolution Strategy (Genetic Algorithm)
An easy way to enhance DeepRacer model training using DRfC functionalities through Jupyter Notebooks. Reproducing some core functionalities provided by AWS SageMaker Notebook
Add a description, image, and links to the reinfrocement-learning topic page so that developers can more easily learn about it.
To associate your repository with the reinfrocement-learning topic, visit your repo's landing page and select "manage topics."