Interactive Robot Assisted Suturing Simulation
MATE: the Multi-Agent Tracking Environment.
MATE: the Multi-Agent Tracking Environment.
An environement builder for hierarchical reasoning research
Battleship environment for reinforcement learning tasks
A Multi-Agent Reinforcement Learning Environment for Information Dissemination based on Graph Convolutional Reinforcement Learning
Implementation of a Reinforcement Learning (RL) model to learn to scratch the less possible surface on the scratch game of the Badulaque of the app "The Simpsons Springfield".
A Multi Particle Environments (MPE) environment compatible with PettingZoo. Cooperative and competitive game environment.
A gym-env to do trading (forex/stock/crypto) using reinforcement-learning
Google football with more wrappers, scenarios and flexible task parameters
This is a simple OpenAI Gym-compatible environment to test RL agent's memory.
The Docker image for the isolated Mujoco environment
A reinforcement learning model built with PyTorch to play the classic Snake game using PyGame.
Source code for the paper "Benchmarking Dynamic SLO Compliance in Distributed Computing Continuum Systems" (Alfreds Lapkovskis, Boris Sedlak, Sindri Magnússon, Schahram Dustdar & Praveen Kumar Donta, 2025)
Source code of a sample iOS app for the paper "Benchmarking Dynamic SLO Compliance in Distributed Computing Continuum Systems" (Alfreds Lapkovskis, Boris Sedlak, Sindri Magnússon, Schahram Dustdar & Praveen Kumar Donta, 2025)
Example of Reinforcement Learning Environment on Minecraft with Stable-Baselines3 and CraftGround
AI-powered ad optimization using Reinforcement Learning and Groq API to maximize click-through rates
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