The goal of this project is to explore and compare the different methods of solving optimal control problems in dynamical systems

CloudSim is primarily a simulation framework for modeling and simulating cloud computing infrastructures and services. While CloudSim itself does not include built-in machine learning capabilities, you can integrate machine learning techniques into CloudSim to optimize various aspects of cloud resource management.

Different approaches to control the cart and pole system from LQR to Reinforcement learning algorithm as SARSA and Q-learning

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PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

🏛️A research-friendly codebase for fast experimentation of single-agent reinforcement learning in JAX • End-to-End JAX RL

Collection of materials and code samples on reinforcement learning / optimal control and game theory

🤖 The Full Process Python Package for Robot Learning from Demonstration and Robot Manipulation

This is a project where we see the effectiveness of some Reinforcement Learning methods in order to provide Network Friendly Recommendations (NFR) to a user and reduce the cost of providing non-cached items.

Really Fast End-to-End Jax RL Implementations

Implementation of Q-Learning, Double Q-Learning, and LSPI for pricing American options under the Black-Scholes model

MDPs and POMDPs in Julia - An interface for defining, solving, and simulating fully and partially observable Markov decision processes on discrete and continuous spaces.

Some algorithms of Reinforcement Learning implemented by me, in accordance to "Introduction to Reinforcement Learning" by Richard Sutton and Andrew Barto.

This repository contains implementations of various reinforcement learning algorithms, including Q-Learning, Deep Q Networks (DQN), Policy Gradient methods, and more. Explore, learn, and apply these algorithms to solve challenging problems in AI and machine learning.

A beginner-friendly technical walkthrough of RL fundamentals using OpenAI Gymnasium. Currently includes DDQN, REINFORCE, PPO

This repository contains the lectures learning, assignments, projects and case studies of Applied AI Machine learning Course

LLMTechSite, 专注于通用人工智能领域的技术生态。

Policy Iteration for Continuous Dynamics

A framework for training theoretically stable (and robust) Reinforcement Learning control algorithms.

Battletech simulation and AI system trained with reinforcement learning algorithms