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ML-Reinforcement

23 posts

Stable-Baselines3

Last Updated: 17 July 2025

Stable-Baselines3 (SB3)is a powerful, open-source Python library built on PyTorch, designed to make reinforcement learning (RL) practical and accessible. It provides modul...read more

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ML-Reinforcement

Introduction to Keras-RL

Last Updated: 17 July 2025

Keras-RL is a Python library that provides a simple interface for implementing reinforcement learning (RL) algorithms using the Keras deep learning framework. It enables r...read more

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ML-Reinforcement

Temporal Difference (TD) learning

Last Updated: 23 July 2025

Temporal Difference (TD) Learning is amodel-free reinforcement learning methodused by algorithms like Q-learning to iteratively learn state value functions (V(s)) or state...read more

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ML-Reinforcement

AI-ML-DS With Python

What is policy in reinforcement learning?

Last Updated: 23 July 2025

Reinforcement learning is a type of machine learning where a agent like a robot or a program learns to make decisions by interacting with an environment. The agent takes a...read more

Machine Learning

ML-Reinforcement

Policy Gradient Methods in Reinforcement Learning

Last Updated: 09 October 2025

Policy Gradient methods in Reinforcement Learning (RL) to directly optimize the policy, unlike value-based methods that estimate the value of states. These methods are par...read more

Machine Learning

ML-Reinforcement

Dynamic Programming in Reinforcement Learning

Last Updated: 09 October 2025

Dynamic Programming (DP) is a technique used to solve problems by breaking them down into smaller subproblems, solving each one and combining their results. In Reinforceme...read more

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Machine Learning

ML-Reinforcement

AI-ML-DS With Python

How Are Neural Networks Used in Deep Q-Learning?

Last Updated: 23 July 2025

Deep Q-Learning is a subset of reinforcement learning, a branch of artificial intelligence (AI) that focuses on how agents take actions in an environment to maximize cumul...read more

ML-Reinforcement

Machine Learning

AI-ML-DS With Python

Model-Based Reinforcement Learning (MBRL) in AI

Last Updated: 06 November 2025

Model-Based Reinforcement Learning (MBRL) is a subclass of Reinforcement Learning (RL) where an agent learns a model of the environment’s dynamics, essentially predicting ...read more

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ML-Reinforcement

Artificial Intelligence

AI-ML-DS With Python

How to Make a Reward Function in Reinforcement Learning?

Last Updated: 23 July 2025

One of the most critical components in RL is the reward function. It drives the agent's learning process by providing feedback on the actions it takes, guiding it toward a...read more

Machine Learning

ML-Reinforcement

AI-ML-DS With Python

How to Visualize and Interact with Environments in Reinforcement Learning?

Last Updated: 23 July 2025

Reinforcement learning (RL) is a crucial area of machine learning where agents learn to make decisions by interacting with an environment. Visualization of these interacti...read more

Machine Learning

ML-Reinforcement

AI-ML-DS With Python

Dyna Algorithm in Reinforcement Learning

Last Updated: 23 July 2025

The Dyna algorithm introduces a hybrid approach that leverages both real-world and simulated experiences, enhancing the agent's learning efficiency. This article delves in...read more

Machine Learning

ML-Reinforcement

Data Science Blogathon 2024

Multi-armed Bandit Problem in Reinforcement Learning

Last Updated: 27 October 2025

The Multi-Armed Bandit (MAB) problem is a classic problem in probability theory and decision-making that captures the essence of balancing exploration and exploitation. Th...read more

Machine Learning

ML-Reinforcement

AI-ML-DS With Python

Data Science Blogathon 2024

Optimizing Production Scheduling with Reinforcement Learning

Last Updated: 23 July 2025

Production scheduling is a critical aspect of manufacturing operations, involving the allocation of resources to tasks over time to optimize various performance metrics su...read more

Machine Learning

ML-Reinforcement

Multi-Agent Reinforcement Learning in AI

Last Updated: 29 May 2024

Reinforcement learning (RL) can solve complex problems through trial and error, learning from the environment to make optimal decisions. While single-agent reinforcement l...read more

Machine Learning

ML-Reinforcement

Data Science Blogathon 2024

Reinforcement Learning in Python: Implementing SARSA Agent in Taxi Environment

Last Updated: 23 July 2025

SARSA (State-Action-Reward-State-Action) is an on-policy reinforcement learning algorithm that updates its policy based on the current state-action pair, the reward receiv...read more

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Machine Learning

ML-Reinforcement

Data Science Blogathon 2024