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zhuoranyang's Projects

baselines icon baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

cpo icon cpo

Constrained Policy Optimization

dshell icon dshell

Dshell is a network forensic analysis framework.

few-shot-cot icon few-shot-cot

Try few shot COT and ICL. Modified from "Automatic Chain of Thought Prompting in Large Language Models" (stay tuned & more will be updated)

mmp icon mmp

Implimentation of some Reinforcement Learning algorithms

reinforcement-learning-algorithms icon reinforcement-learning-algorithms

These implementatios shows Convergence and performance of policy and value iteration algorithms, how the convergence of these algorithms to the optimal value function depends on the number of iterations used. Furthermore, I have implemented on-policy SARSA and off-policy Q-learning algorithms and showed how the performance of these algorithms depends on the exploration-exploitation tradeoff, and on learning rates. My experiments were evaluted on benchmark reinforcement learning tasks such as a smallworld, gridworld and a cliffworld MDP to analyze the performance of our algorithms.

v120 icon v120

Proceedings of Learning for Dynamics and Control

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