Training a Mario reinforcement learning agent using Open AI Gym and Stable Baselines 3 PPO algorithm.
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Updated
Jul 8, 2024 - Python
Training a Mario reinforcement learning agent using Open AI Gym and Stable Baselines 3 PPO algorithm.
Dockerized Container Architecture for Parallel Training of CARLA Gym Environments
This package provides ROS support for Stable Baselines3. It allows you to train robotics RL agents in the real world and simulations using ROS and SB3.
A reinforcement learning A3C implementation trained to play Super Mario Bros
Wrappers for reinforcement learning algorithms (i.e. stable baselines 3, RLlib) to work with pyRDDLGym.
Numerical Evidence for Sample Efficiency of Model-Based over Model-Free Reinforcement Learning Control of Partial Differential Equations [ECC'24]
Nokia's classic 'snake' game, written in NumPy and converted into a Gymnasium Environment() for use with gradient-based reinforcement learning algorithms
Predator-Prey-Grass gridworld environment using PettingZoo, with dynamic deletion and spawning of partially observant agents.
Worst-case MSE Minimization for RIS-assisted mmWave MU-MISO Systems with Hardware Impairments and CSI Imperfection
MLPro: Integration StableBaselines3
Superconducting RadioFrequency cavity Frequency Control by Reinforcement Learning
Explore the capabilities of RealROS and MultiROS in training robots for real-world tasks. This repository showcases real-world training and Gazebo simulation-based training for a reach task based on the ReactorX 200 robot manipulator.
A grid-like environment (multi-agent system) used by an intelligent agent (or more than one agent) in order for it/them to carry the orbs to the pits in a limited number of movements.
PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control
Deep reinforcement learning for intelligent power control in IoT
PettingZoo ConnectFour and TicTacToe examples, configured with Rye as dependency manager
Code base for SICNav: Safe and Interactive Crowd Navigation using Model Predictive Control and Bilevel Optimization
Teaching a quadruped robot to walk using a spiking neural network based architecture
Explorations and implementations of Deep Reinforcement Learning techniques from the Hugging Face course, featuring DQN and PPO applied to classic and VizDoom environments.
Reinforcement Learning tool for Network Slice Placement problems
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