Yuki Minai – Medium

Yuki Minai

Yuki Minai

Create a gymnasium custom environment (Part 2)

gymnasium packages contain a list of environments to test our Reinforcement Learning (RL) algorithm. For example, this previous blog used…

5 min readMar 4, 2024

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Yuki Minai

Create a gymnasium custom environment (Part 1)

Introduction

4 min readMar 4, 2024

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Yuki Minai

Proximal Policy Optimization Tutorial

From REINFORCE with baseline to Proximal Policy Gradient

8 min readJan 25, 2024

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Proximal Policy Optimization Tutorial

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Yuki Minai

Policy gradient methods: From REINFORCE to Actor Critic

The reinforcement learning methods we learned in previous articles such as Monte Carlo Methods, TD-learning, and Deep Q-learning learn…

13 min readDec 15, 2023

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Policy gradient methods: From REINFORCE to Actor Critic

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Yuki Minai

Deep Q-learning (DQN) Tutorial with CartPole-v0

In this series of articles, I have introduced various policy iteration algorithms to solve Markov Decision Processes (MDPs) such as Dynamic…

6 min readDec 15, 2023

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Deep Q-learning (DQN) Tutorial with CartPole-v0

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Yuki Minai

Find an optimal policy with Finite Markov Decision Process: Part3 TD-learning

In this series of blogs, we will delve into various methods for finding an optimal policy within the context of Finite Markov Decision…

9 min readNov 20, 2023

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Find an optimal policy with Finite Markov Decision Process: Part3 TD-learning

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Yuki Minai

Find an optimal policy with Finite Markov Decision Process: Part2 Monte Carlo Methods

In this series of blogs, we will delve into various methods for finding an optimal policy within the context of Finite Markov Decision…

14 min readNov 20, 2023

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Find an optimal policy with Finite Markov Decision Process: Part2 Monte Carlo Methods

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Yuki Minai

Find an optimal policy with Finite Markov Decision Process: Part1 Dynamic Programming

In this series of blogs, we will delve into various methods for finding an optimal policy within the context of Finite Markov Decision…

10 min readNov 20, 2023

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Find an optimal policy with Finite Markov Decision Process: Part1 Dynamic Programming

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Yuki Minai

Exploring Multi-Armed Bandit Problem: Epsilon-Greedy, Epsilon-Decreasing, UCB, and Thompson…

To tackle the multi-armed bandit problem, we will learn well-established algorithms such as Greedy algorithm, UCB, and Thompson Sampling

11 min readNov 20, 2023

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Exploring Multi-Armed Bandit Problem: Epsilon-Greedy, Epsilon-Decreasing, UCB, and Thompson…

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Yuki Minai

Yuki Minai

Ph.D. student in Neural Computation and Machine Learning at Carnegie Mellon University, Personal webpage: http://yukiminai.com

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