Accelerated minigrid environments with JAX
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Updated
Jun 5, 2024 - Python
Accelerated minigrid environments with JAX
Simple Gridworld Gymnasium Environment
Extended, multi-agent and multi-objective (MaMoRL) environments based on DeepMind's AI Safety Gridworlds. This is a suite of reinforcement learning environments illustrating various safety properties of intelligent agents. It is made compatible with OpenAI's Gym/Gymnasium and Farama Foundation PettingZoo.
python package for fast shortest path computation on 2D polygon or grid maps
A gridworld-like gym environment for Reinforcement Learning research.
Gridworld environments for OpenAI gym.
🐍 Implementation of the REINFORCEjs library from Kaparthy in Python
A Gymnasium benchmark suite for evaluating the robustness and multi-task performance of reinforcement learning algorithms in various discrete and continuous environments.
Implementation of Deep Recurrent Q-Networks for Partially Observable environment setting in Tensorflow
Value iteration, policy iteration, and Q-Learning in a grid-world MDP.
Tool for creating simple gridworlds and their state complexes
Navigate a grid map efficiently, avoiding obstacles, and finding optimal paths for autonomous systems. This project combines Reinforcement Learning, Monte Carlo Tree Search, and Model-Based Formal Methods to create and validate effective path plans.
Lightweight multi-agent gridworld Gym environment
Help! I'm lost in the flatland!
R.L. methods and techniques.
Markov Decision Process (value iteration) and Reinforcement Learning (Q-learning) presented in Grid World.
The PyTorch framework developed to enable my MSci thesis project titled: "Evaluating Uncertainty Estimation Methods For Deep Neural Network’s In Inverse Reinforcement Learning"
Adversarial attacks in consensus-based multi-agent reinforcement learning
Classic Reinforcement Learning implementations for custom Girdworld environment.
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