CORE-Robotics-Lab

HetNet

Public implementation of Heterogeneous Policy Networks (HetNet) from AAMAS'22 -- Paper Title: Learning Efficient Diverse Communication for Cooperative Heterogeneous Teaming

ICCT

InfoPG

Iterated Reasoning with Mutual Information in Cooperative and Byzantine Decentralized Teaming

Interpretable_DDTS_AISTATS2020

Public code for implementation and experiments with differentiable decision trees.

MAGIC

Public implementation of "Multi-Agent Graph-Attention Communication and Teaming" from AAMAS'21

Opponent-Modeling

Personalized_Neural_Trees

ProLoNets

Public implementation of "Encoding Human Domain Knowledge to Warm Start Reinforcement Learning" from AAAI'21

SSRR

Public implementation of "Learning from Suboptimal Demonstration via Self-Supervised Reward Regression" from CoRL'21

Wheelchair-Tennis-Robot

CORE-Robotics-Lab/MAGIC

Public implementation of "Multi-Agent Graph-Attention Communication and Teaming" from AAMAS'21

CORE-Robotics-Lab/Interpretable_DDTS_AISTATS2020

Public code for implementation and experiments with differentiable decision trees.

CORE-Robotics-Lab/SSRR

Public implementation of "Learning from Suboptimal Demonstration via Self-Supervised Reward Regression" from CoRL'21

CORE-Robotics-Lab/Wheelchair-Tennis-Robot

CORE-Robotics-Lab/Opponent-Modeling

CORE-Robotics-Lab/ProLoNets

Public implementation of "Encoding Human Domain Knowledge to Warm Start Reinforcement Learning" from AAAI'21

CORE-Robotics-Lab/HetNet

Public implementation of Heterogeneous Policy Networks (HetNet) from AAMAS'22 -- Paper Title: Learning Efficient Diverse Communication for Cooperative Heterogeneous Teaming

CORE-Robotics-Lab/ICCT

CORE-Robotics-Lab/InfoPG

Iterated Reasoning with Mutual Information in Cooperative and Byzantine Decentralized Teaming

CORE-Robotics-Lab/AirME

Stochastic resource optimization over heterogeneous graph neural networks for failure-predictive maintenance scheduling

CORE-Robotics-Lab/ConDT

Public implementation of the Contrastive Decision Transformers (ConDT)

CORE-Robotics-Lab/MixTURE

Public Repository for the Mixed-Initiative Multi-Agent Apprenticeship Learning (MixTURE) for Human Training of Multi-Robot Teams

CORE-Robotics-Lab/Personalized_Neural_Trees

CORE-Robotics-Lab/Cross_Loss_Influence_Functions

CORE-Robotics-Lab/FLAIR

Implementation of <Fast Lifelong Adaptive Inverse Reinforcement Learning from Crowdsourced Demonstrations> on CoRL 2022

CORE-Robotics-Lab/Bayes-POMCP

CORE-Robotics-Lab/GrAMMI

Codebase for Learning Models of Adversarial Agent Behavior under Partial Observability

CORE-Robotics-Lab/Bootcamp

CORE-Robotics-Lab/HybridNet_IROS2022

CORE-Robotics-Lab/Utility-of-Explainable-AI-NeurIPS2021

CORE-Robotics-Lab/GSD

Implementation for Guided Strategy Discovery, published at the OOD Workshop at CoRL 2023.

CORE-Robotics-Lab/HijackingRobotTeams

CORE-Robotics-Lab/SchedHGNN

CORE-Robotics-Lab/SECURE

CORE-Robotics-Lab/TCFM

Efficient Trajectory Forecasting and Generation with Conditional Flow Matching