MIMUW AI research lab

MIMUW AI research lab's repositories

Unified-Long-Horizon-Time-Series-Benchmark

Code for reproducing results from the paper "Unified Long Horizon Time Series Benchmark"

Language:PythonApache-2.013 10

space-gym

Challenging reinforcement learning environments with locomotion tasks in space

Language:Python8 1 15

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'

Language:Python000

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.

Language:C#NOASSERTION000

unity_dodgeball_training_fork

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

Language:C#NOASSERTION000

worrisome-nn

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

Language:Python000

MIMUW AI research lab

MIMUW-RL