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astar_ros

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

bi-level-optimization-of-parameterized-reward-shaping

BIPARS is a weight reward shaping method, which is called bypass

cai23sbp

cai23sbp.github.io

crowdnav-ros

crowdrep

dqn-pytorch

Deep Q-value Network by pytorch

dyvgrnn

evaluation

gru_ac

GRU-PPO for stable-baselines3.

icp_ros

saperate scan as mathed with map or not (add tf transform)

imitation

Clean PyTorch implementations of imitation and reward learning algorithms

navrep

omo_r1

Official ros package for OMO R1 robot from the original source has been released https://github.com/omorobot/omoros

personal_space

Personal_space (asymmetry Gaussian generator) for Pedsim

ppo-gae-pytorch

Proximal policy optimization - Generalized Advantage Estimation - pytorch

range_libc

A collection of optimized ray cast methods for 2D occupancy grids including the CDDT algorithm. Written in C++ and CUDA with Python wrappers.

real_time_pkg

recurrentbc

Recurrent Behavior Cloning (with GRU)

recurrentrlhf

Custom imitation library for making RecurrentReward model. I used GRU.

refined_laserscan

LaserScan refineder (rospy)

relationalgraphlearning

[IROS20] Relational graph learning for crowd navigation

rl_nav

Robot Navigation with Map-Based Deep Reinforcement Learning

ros_maps_to_pedsim

This package converts maps in ROS format (as defined by map_server) to Pedsim scenarios

san-fapl

This repository contains the source code for our paper: "Feedback-efficient Active Preference Learning for Socially Aware Robot Navigation", accepted to IROS-2022. For more details, please refer to our project website at https://sites.google.com/view/san-fapl.

sensor_transform_ros

sensor_transform_ros

stable-baselines3

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms. (v-1.8.0)

stable-baselines3-contrib

Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code (v1.8.0)

vgrnn

Variational Graph Recurrent Neural Networks - PyTorch