hanheng2014

intrinsic-rewards-navigation

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

DRL-Pytorch

Clean, Robust, and Unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)

learning-based-navigation-papers

paper-list of learning-based mobile navigation(especially motion planning & awareness)

awesome-robot-social-navigation

A curated list of robot social navigation.

LIO-SAM

LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping

Awesome-LLM-Robotics

A comprehensive list of papers using large language/multi-modal models for Robotics/RL, including papers, codes, and related websites

PRM-Blended-Potential-Field-Path-Planning

Probabilistic Road Map mixed Artificial Potential Field Path Planning for Non-Holonomic Robots

AEMCARL

Reinforcement Learning Based Collision Avoidance with Adaptive Environment Modeling for Crowded Scenes

Fusion-LiDAR-Camera

Fusion of LiDAR and Camera

lidar-camera-fusion

The code implemented in ROS projects a point cloud obtained by a Velodyne VLP16 3D-Lidar sensor on an image from an RGB camera.

sac-discrete.pytorch

PyTorch implementation of SAC-Discrete.

pytorch_sac

PyTorch implementation of Soft Actor-Critic (SAC)

Deep-reinforcement-learning-with-pytorch

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

sac

Soft Actor-Critic

softlearning

Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.

jaxrl

JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.

spinningup

An educational resource to help anyone learn deep reinforcement learning.

Deep-Reinforcement-Learning-Algorithms-with-PyTorch

PyTorch implementations of deep reinforcement learning algorithms and environments

DSAC-T

DSAC-v2; DASC; Distributional Soft Actor-Critic

DeepStream

A Platform for LiDAR-Camera Fusion

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

rvo_ros

The ros package of rvo library

ir_sim

A python based light weight robot simulator for the intelligent robotics navigation and learning

rl_rvo_nav

The source code of the [RA-L] paper "Reinforcement Learned Distributed Multi-Robot Navigation with Reciprocal Velocity Obstacle Shaped Rewards"

RDA_planner

The source code of the [RA-Letter] paper "RDA: An Accelerated Collision Free Motion Planner for Autonomous Navigation in Cluttered Environments"

RNNexp

pytorch-a2c-ppo-acktr-gail

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

ConSpec

PaS_CrowdNav

Occlusion-Aware Crowd Navigation Using People as Sensors: ICRA2023

DDQN

Double DQN Pytorch