GitHub topics: semi-markov-decision-process
Maleniski/SemiMarkov-MeanField
Dashboard documentation for the simulating the evolution of object proportions under a mean field approach.
Language: Python - Size: 641 KB - Last synced at: 3 days ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0
showman-sharma/taxi-v3-learning
In this project, we tried two different Learning Algorithms for Hierarchical RL on the Taxi-v3 environment from OpenAI gym. SMDP Q-Learning and Intra Option Q-Learning and contrasted them with two other methods that involve hardcoding based on human understanding. We conclude that the solutions learnt by machine are way superior than humans for this problem. Intra Option Q-Learning outperforms SMDP Q-Learning because of better usage of the SARS samples (similar to experience replay). Our algorithms even outperform the Hardcoded Agent. We also demonstrated and concluded the strong effectiveness of state compression on the model performance.
Language: Jupyter Notebook - Size: 2.14 MB - Last synced at: almost 2 years ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 0
somu15/Disf_Hazard
This repo consists of the codes used for a paper titled "DISFUNCTIONALITY HAZARD: A RISK-BASED TOOL TO SUPPORT THE RESILIENT DESIGN OF SYSTEMS SUBJECTED TO SINGLE HAZARDS AND MULTIHAZARDS."
Language: MATLAB - Size: 388 KB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 0
akhodadadi/TimeAllocation
Reinforcement learning models of human decision making in time allocation behavioral experiments
Language: R - Size: 369 KB - Last synced at: about 2 years ago - Pushed at: about 7 years ago - Stars: 0 - Forks: 0
