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Name: MIMUW AI research lab

Type: Organization

Bio: AI Research lab at MIM Faculty University of Warsaw, Poland, PI dr Jacek Cyranka

Location: Poland

MIMUW AI research lab's Projects

frets-fork icon frets-fork

Official implementation of the paper "Frequency-domain MLPs are More Effective Learners in Time Series Forecasting"

improved_overparametrization_tmlr icon improved_overparametrization_tmlr

Code for reproducing experiments reported in the TMLR paper 'Improved Overparametrization Bounds for Global Convergence of Stochastic Gradient Descent for Shallow Neural Networks'

marl_team_based_testers icon marl_team_based_testers

Python scripts dedicated for testing team-based multi-agent reinforcement learning environments. Behavioral policies of agents are provided as ONNX checkpoints. Currently compatible with Unity ML-Agents framework.

ml-agents_fork icon ml-agents_fork

The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.

space-gym icon space-gym

Challenging reinforcement learning environments with locomotion tasks in space

unity-ml-agents_hide-and-seek icon unity-ml-agents_hide-and-seek

New Unity ML-Agents Team-based MARL environments: Hide & Seek and Predator-Prey. Used in the paper "FCSP: Fictitious Co-Self-Play for Team-based Multi-agent Reinforcement Learning"

unity_dodgeball_training_fork icon unity_dodgeball_training_fork

Repository with environment C# code for training GFCP algorithm (team self-play with checkpoint injections) using ML-Agents learn script

worrisome-nn icon worrisome-nn

Code repository for reproducing results published in ECAI23 paper entitled "Worrisome Properties of Neural Network Controllers and Their Symbolic Representations"

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