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ChaitanyaC22 / Deep-RL-Project---Maximize-total-profits-earned-by-cab-driver

Star 12

The goal of this project is to build an RL-based algorithm that can help cab drivers maximize their profits by improving their decision-making process on the field. Taking long-term profit as the goal, a method is proposed based on reinforcement learning to optimize taxi driving strategies for profit maximization. This optimization problem is fo…

actions deep-reinforcement-learning prediction data-visualization convergence dqn epsilon-greedy states rl rewards hyperparameter-tuning model-evaluation model-building optimal-policy markov-decision-process epsilon-decay mdp-framework training-dqn-agent q-values-tracking minibatch-gradient-descent
  • Updated Jul 9, 2021
  • Jupyter Notebook
AppliedGameTheoryHomeworkSolutions

NikolaZubic / AppliedGameTheoryHomeworkSolutions

Star 8

Solutions for course: "Applied Game Theory" taken at University of Novi Sad - Faculty of Technical Sciences

tic-tac-toe blackjack q-learning game-theory minimax-algorithm multi-armed-bandit softmax monte-carlo-methods bellman-ford-algorithm evolutionary-game-theory sarsa-learning temporal-difference-learning markov-decision-process softmax-policy cournot-competition instigation-game applied-game-theory
  • Updated Jan 18, 2021
  • Jupyter Notebook

danieljsharpe / DISCOTRESS_tutorials

Star 5

Learn to get started using DISCOTRESS with these tutorials! Then apply to your own Markov chains in ecology 🦜🌴 economics 💸📈 biophysics 🧬🦠 and more!

markov-model simulation markov-chain tutorials kinetic-monte-carlo markov-decision-processes stochastic-simulation-algorithm markov-process random-walk ctmc discrete-event-simulation stochastic-simulation dtmc network-dynamics rare-events markovian-dynamics markov-decision-process stochastic-dynamics
  • Updated Sep 12, 2021
  • Brainfuck

YasPHP / UofT-LearnAI

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An Introductory ML Educational Program hosted by the UofT AI Society. Topics include, Data Manipulation, Classification & Regression, Neural Networks, Computer Vision (CNNs), Natural Language Processing (RNNs), Reinforcement Learning (RL), Markov Decision Process (MDP), Genetic Algorithms, Decision Trees, K-means Clustering, Minimax, Hidden Mark…

reinforcement-learning regression recurrent-neural-networks neural-networks classification convolutional-neural-networks data-manipulation decision-trees nlp-machine-learning k-means-clustering markov-decision-process learnai
  • Updated Mar 25, 2021
  • Jupyter Notebook

ChaitanyaC22 / Numerical_TicTacToe_Agent_using_Reinforcement_Learning

Star 3

Build an RL (Reinforcement Learning) agent that learns to play Numerical Tic-Tac-Toe. The agent learns the game by Q-Learning.

reinforcement-learning actions q-learning policy episodes convergence epsilon-greedy states rl rewards hyperparameter-tuning learning-rate model-building q-value markov-decision-process q-learning-algorithm epsilon-decay q-value-iteration mdp-framework
  • Updated Jul 9, 2021
  • Jupyter Notebook

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