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@MIMUW-RL

MIMUW AI research lab

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

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  1. Unified-Long-Horizon-Time-Series-Benchmark Unified-Long-Horizon-Time-Series-Benchmark Public

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

    Python 15 3

  2. space-gym space-gym Public

    Challenging reinforcement learning environments with locomotion tasks in space

    Python 9

  3. unity-ml-agents_hide-and-seek unity-ml-agents_hide-and-seek Public

    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"

    ShaderLab 2

  4. marl_team_based_testers marl_team_based_testers Public

    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-A…

    Python 1

  5. spp-rl spp-rl Public

    State Planning Policy RL method software and training codes for the benchmarks presented in the paper

    Jupyter Notebook

  6. ml-agents_fork ml-agents_fork Public

    Forked from Unity-Technologies/ml-agents

    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 …

    C#

Repositories

Showing 10 of 10 repositories
  • FreTS-fork Public Forked from aikunyi/FreTS

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

    MIMUW-RL/FreTS-fork’s past year of commit activity
    Python 0 Apache-2.0 22 0 0 Updated Mar 10, 2024
  • unity-ml-agents_hide-and-seek Public

    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"

    MIMUW-RL/unity-ml-agents_hide-and-seek’s past year of commit activity
    ShaderLab 2 0 0 0 Updated Feb 8, 2024
  • marl_team_based_testers Public

    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.

    MIMUW-RL/marl_team_based_testers’s past year of commit activity
    Python 1 0 0 0 Updated Feb 8, 2024
  • Unified-Long-Horizon-Time-Series-Benchmark Public

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

    MIMUW-RL/Unified-Long-Horizon-Time-Series-Benchmark’s past year of commit activity
    Python 15 Apache-2.0 3 0 0 Updated Oct 6, 2023
  • worrisome-nn Public

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

    MIMUW-RL/worrisome-nn’s past year of commit activity
    Python 0 0 0 0 Updated Jul 31, 2023
  • unity_dodgeball_training_fork Public archive Forked from Unity-Technologies/ml-agents-dodgeball-env

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

    MIMUW-RL/unity_dodgeball_training_fork’s past year of commit activity
    C# 0 16 0 0 Updated Apr 1, 2023
  • improved_overparametrization_tmlr Public

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

    MIMUW-RL/improved_overparametrization_tmlr’s past year of commit activity
    Python 0 0 0 0 Updated Mar 6, 2023
  • spp-rl Public

    State Planning Policy RL method software and training codes for the benchmarks presented in the paper

    MIMUW-RL/spp-rl’s past year of commit activity
    Jupyter Notebook 0 MIT 0 0 0 Updated Feb 7, 2023
  • ml-agents_fork Public Forked from Unity-Technologies/ml-agents

    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.

    MIMUW-RL/ml-agents_fork’s past year of commit activity
    C# 0 4,202 0 0 Updated Sep 30, 2022
  • space-gym Public

    Challenging reinforcement learning environments with locomotion tasks in space

    MIMUW-RL/space-gym’s past year of commit activity
    Python 9 0 0 0 Updated Jun 27, 2022

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