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epsilon

eqmotion

[CVPR2023] EqMotion: Equivariant Multi-agent Motion Prediction with Invariant Interaction Reasoning

evolvegcn

Code for EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs

evolvegraph_realize

fast-planner

Package for the paper "Robust and Efficient Quadrotor Trajectory Generation for Fast Autonomous Flight"

fetch_ros

Open ROS Components for Robots from Fetch Robotics

focops

Pytorch Implementation for First Order Constrained Optimization in Policy Space (FOCOPS).

font

fpl

Code/data of the paper "Future Person Localization in First-Person Videos" (CVPR2018)

gpnn

Code for ECCV2018 - Learning Human-Object Interactions by Graph Parsing Neural Networks.

graph-reinforcement-learning-papers

A curated list of graph reinforcement learning papers.

gvin

Generalized Value Iteration Network

hgat-drl

hw_cloud_client

intrinsic-rewards-navigation

Repository of the work: Improving robot navigation in crowded environments using intrinsic rewards (ICRA 2023)

mastering_ros

This repository contains exercise files of the book "Mastering ROS for Robotics Programming"

menge

The source code for the Menge crowd simulation framework

menge_ros

Crowd simulation tool for robot navigation

metagf

multi-object-tracking-with-kalman-filter

multiobjectiveoptimization

Source code for Neural Information Processing Systems (NeurIPS) 2018 paper "Multi-Task Learning as Multi-Objective Optimization"

multiple-topologies-prediction

muzero-general

MuZero

navsafe-arena

nn_robustness_analysis

Python tools for analyzing the robustness properties of neural networks (NNs) from MIT ACL

off-policy-trc

Official GitHub Repository for Efficient Off-Policy Safe Reinforcement Learning Using Trust Region Conditional Value At Risk.

omnisafe

OmniSafe is a comprehensive and reliable benchmark for safe reinforcement learning.

pedsim_ros

Pedestrian simulator powered by the social force model

pysocialforce

Extended Social Force Model in Python for social navigation research

pytorch-pcgrad

Pytorch reimplementation for "Gradient Surgery for Multi-Task Learning"