Pinned Repositories
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
CrowdRep
DQN-pytorch
Deep Q-value Network by pytorch
GRU_AC
GRU-PPO for stable-baselines3.
RecurrentBC
Recurrent Behavior Cloning (with GRU)
RecurrentRLHF
Custom imitation library for making RecurrentReward model. I used GRU.
VGRNN
Variational Graph Recurrent Neural Networks - PyTorch
CAI23sbP's Repositories
CAI23sbP/DQN-pytorch
Deep Q-value Network by pytorch
CAI23sbP/GRU_AC
GRU-PPO for stable-baselines3.
CAI23sbP/RecurrentBC
Recurrent Behavior Cloning (with GRU)
CAI23sbP/RecurrentRLHF
Custom imitation library for making RecurrentReward model. I used GRU.
CAI23sbP/astar_ros
CAI23sbP/baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
CAI23sbP/bi-level-optimization-of-parameterized-reward-shaping
BIPARS is a weight reward shaping method, which is called bypass
CAI23sbP/CAI23sbP
CAI23sbP/CAI23sbP.github.io
CAI23sbP/crowdnav-ros
CAI23sbP/CrowdRep
CAI23sbP/DyVGRNN
CAI23sbP/evaluation
CAI23sbP/icp_ros
saperate scan as mathed with map or not (add tf transform)
CAI23sbP/imitation
Clean PyTorch implementations of imitation and reward learning algorithms
CAI23sbP/navrep
CAI23sbP/okay_
CAI23sbP/omo_r1
Official ros package for OMO R1 robot from the original source has been released https://github.com/omorobot/omoros
CAI23sbP/Personal_space
Personal_space (asymmetry Gaussian generator) for Pedsim
CAI23sbP/PPO-GAE-PYTORCH
Proximal policy optimization - Generalized Advantage Estimation - pytorch
CAI23sbP/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.
CAI23sbP/real_time_pkg
CAI23sbP/Refined_LaserScan
LaserScan refineder (rospy)
CAI23sbP/rl_nav
Robot Navigation with Map-Based Deep Reinforcement Learning
CAI23sbP/ros_maps_to_pedsim
This package converts maps in ROS format (as defined by map_server) to Pedsim scenarios
CAI23sbP/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.
CAI23sbP/sensor_transform_ros
sensor_transform_ros
CAI23sbP/stable-baselines3
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms. (v-1.8.0)
CAI23sbP/stable-baselines3-contrib
Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code (v1.8.0)
CAI23sbP/ydlidar
The driver of ydlidar for ROS on the linux !