grid-world

See a program learn the best actions in a grid-world to get to the target cell, and even run through the grid in real-time! This is a Q-Learning implementation for 2-D grid world using both epsilon-greedy and Boltzmann exploration policies.

python machine-learning reinforcement-learning grid-world epsilon-greedy boltzmann-exploration

Updated Feb 4, 2023
Python

quanghuyle3 / Runners_Agent_Based_Model

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Agent-based activity generation of runners for city infrastructure planning.

visualization simulation grid-world agent-based-modeling runners city-planning osmnx mesa3d

Updated Aug 28, 2021
Python

LijunSun90 / MatrixWorld

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MatrixWorld: A pursuit-evasion platform for safe multi-agent coordination and autocurricula

grid-world large-scale safety-critical adversarial-learning pursuit-evasion multi-agent-path-finding co-evolution collision-resolution arms-race multi-agent-environment autocurricula safe-multiagent-reinforcement-learning

Updated Jun 5, 2024
Python

sintefneodroid / Examples

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Example Implementations of Reinforcement Learning Environments using Neodroid

agent learning fun world grid reinforcement-learning ml grid-world rl gridworld hacktoberfest gridworld-environment

Updated Dec 8, 2022
C#

u-t-autonomous / gridsim

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A grid world simulation environment

grid simulation pygame mdp grid-world gridworld

Updated Nov 20, 2017
Python

jia-yi-chen / Bandit-and-Reinforcement-Learning

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Python implementation for Reinforcement Learning algorithms -- Bandit algorithms, MDP, Dynamic Programming (value/policy iteration), Model-free Control (off-policy Monte Carlo, Q-learning)

reinforcement-learning monte-carlo q-learning grid-world dynamic-programming markov-decision-processes multi-armed-bandit bandit-algorithms

Updated Oct 2, 2021
Python

houssameehsain / BeadyRing_DRL

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Modeling of urban form based on the 'Beady Ring' model (Hillier & Hanson, 1984) using deep reinforcement learning.

reinforcement-learning cellular-automata deep-reinforcement-learning grid-world generative-design urban-modelling urban-simulation

Updated Apr 5, 2022
Python

IBM / IBM-Extended-Markov-Ratio-Decision-Process

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This repo includes code referenced in the paper A Rigorous Risk-aware Linear Approach to Extended Markov Ratio Decision Processes with Embedded Learning by Alexander Zadorojniy, Takayuki Osogami, and Orit Davidovich to appear in IJCAI 2023.

grid-world ray markov-decision-processes optimization-algorithms ibm-research-ai

Updated Oct 8, 2024
Jupyter Notebook

Lostefra / ReinforcementLearningToy

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A TensorFlow based DQN agent who moves in a small grid world

reinforcement-learning deep-reinforcement-learning dqn grid-world tf-agents

Updated Jul 13, 2021
Python

jedrazb / rl-grid-world

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Reinforcement learning agent which finds a path to the goal in a grid world. This exercise was done as a coursework for course C424 at Imperial College London.

reinforcement-learning grid-world deep-q-network deep-q-learning reinforcement-agents reinforcement-learning-agent

Updated Jan 8, 2020
Python

elhamza9 / Grid-World-Reinforcement-Learning-ReactJS

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Visual implementation of Reinforcement Learning Algorithms to solve the Grid World Game (React JS)

reinforcement-learning reactjs grid-world dynamic-programming

Updated Nov 2, 2018
JavaScript

akjayant / Coding_Reinforcement_Learning

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Implementation of basic RL steps and algorithms - Dynamic Programming approach, Monte-Carlo approach, DQN on Atari, Policy Gradient - Reinforce with baseline, Actor Critic (A2C)