grid-world

Minimalistic gridworld package for OpenAI Gym

[파이썬과 케라스로 배우는 강화학습] 예제

Help! I'm lost in the flatland!

A Test-Implementation of the IMPALA algorithm (by deepmind 2018)

Example Implementations of Reinforcement Learning Environments using Neodroid

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

A grid world simulation environment

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

Q learning with neural network based function approximators.

Artificial Intelligence Lab Course (CS 312), IIT Dharwad

A variety of novelty search for agents evolving in grid worlds.

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.

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

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

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

Some Experiments with QLearning

Reinforcement Learning code to solve Grid World game

An Implementation of Reinforcement Learning for Data Learning in Grid World

Basic example of A* search

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

Deep Reinforcement Learning implementation of Policy Gradient on a simple Grid-World problem using PyTorch.

A repository for easy understanding of codes in Deep Reinforcement Learning

GridWorld Reinforcement Learning - Policy Iteration, Value Iteration.