Rapid learning mechanisms in reinforcement learning, specifically comparing the effectiveness of different neural representations and model configurations in the learning of novel cues
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Updated
Jul 9, 2024 - Jupyter Notebook
Rapid learning mechanisms in reinforcement learning, specifically comparing the effectiveness of different neural representations and model configurations in the learning of novel cues
Backgammon OpenAI Gym
Reinforcement Learning Algorithms in a simple Gridworld
NYCU 強化學習專論 Selected Topics in Reinforcement Learning Fall 2023
Z. Sun, Q. Wang, J. Pan and Y. Xia, "Data-Driven MPC for Linear Systems using Reinforcement Learning," 2021 China Automation Congress (CAC), Beijing, China, 2021, pp. 394-399, doi: 10.1109/CAC53003.2021.9728233.
train an RNN to estimate value in a POMDP using TD learning
Reinforcement Learning (COMP 579) Project
Reinforcement Learning Specialization | University of Alberta
TD-Gammon implementation
Programming Assignments for Reinforcement Learning Specialization
My solutions to Yandex Practical Reinforcement Learning course in PyTorch and Tensorflow
Code for the numerical experiments in Zhang, Sheng, Zhe Zhang, and Siva Theja Maguluri. "Finite Sample Analysis of Average-Reward TD Learning and Q-Learning."
Reinforcement Learning with tabular methods: TD-learning (Q-learning and SARSA) and MENACE-like approach applied to a Rubik's cube with a move set restricted to 180-degree turns.
multi-armed bandit, gambler problem, cliff problem and TD learning
All of my reinforcement learning projects (Some of the projects may contain errors :D )
Master MVA - Reinforcement Learning Project
python implementation of SARSA learning algorithm to solve a maze
Some coding stuff from various machine learning books
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