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.
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Updated
Jan 8, 2020 - Python
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.
exploring reinforcement learning techniques from scratch, in a simple environment
grid-world, reinforcement learning
Reinforcement Learning code to solve Grid World game
A grid world simulation environment
Basic example of A* search
A variety of novelty search for agents evolving in grid worlds.
GridWorld Reinforcement Learning - Policy Iteration, Value Iteration.
Interactive Learning [ECE 641] - Fall 2023 - University of Tehran - Prof. Nili
Agent-based activity generation of runners for city infrastructure planning.
My Grid World Application. Presented in class on April 7th, 2023.
A TensorFlow based DQN agent who moves in a small grid world
Deep Reinforcement Learning implementation of Policy Gradient on a simple Grid-World problem using PyTorch.
The implementation of some reinforcement learning techniques like (Q-learning, SARSA, DQN) in two assignments and one big project.
Multi-agent pursuit in matrix world (pursuitMW)
Java-based taxi dispatching system for single and multi-agent coordination in grid world environments
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