JackFodtik

JackFodtik

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JackFodtik's repositories

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HetNet

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

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CrowdNav_Prediction_AttnGraph

[ICRA 2023] Intention Aware Robot Crowd Navigation with Attention-Based Interaction Graph

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eph-mapf

EPH: Ensembling Prioritized Hybrid Policies for Multi-agent Pathfinding

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PredRecon

A Prediction-boosted Planner for Fast and High-quality Autonomous Aerial Reconstruction

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ardupilot_gazebo

ArduPilot SITL & Gazebo & ROS 联合仿真

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ipp-al-framework

An Informative Path Planning Framework for Active Learning in UAV-based Semantic Mapping

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CERLAB-UAV-Autonomy

A Versatile and Modular Framework Designed for Autonomous Unmanned Aerial Vehicles [UAVs] (C++/ROS/PX4)

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quad-swarm-rl

Additional environments compatible with OpenAI gym

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Context_Aware_Navigation

[CoRL 2023] Context-Aware Deep Reinforcement Learning for Autonomous Robotic Navigation in Unknown Area - - Public code and model

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optimal_quad_control_SL

End-to-end optimal quadcopter control through Supervised Learning

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STAMP

Spatio-Temporal Attention Network for Persistent Monitoring of Multiple Mobile Targets - IROS23 public code and model

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MARBLER

Realistic Benchmarks for Collaborative Heterogeneous Multi-Robot Systems

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DRL-Transformer-SimtoReal-Navigation

[T-ITS] Sim-to-real goal-oriented mapless autonomous navigation (DRL navigation).

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ROS_pytorch_RL

在turtlebot3,pytorch上使用DQN,DDPG,PPO,SAC算法,在gazebo上实现仿真。Use DQN, DDPG, PPO, SAC algorithm on turtlebot3, pytorch on turtlebot3, pytorch, and realize simulation on gazebo. Use DQN, DDPG, PPO, SAC algorithm to realize simulation on gazebo.

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SCRIMP

offical code of paper 'SCRIMP: Scalable Communication for Reinforcement- and Imitation-Learning-Based Multi-Agent Pathfinding'

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ToM2C

The offcial implementation of "ToM2C: Target-oriented Multi-agent Communication and Cooperation with Theory of Mind" (ICLR 2022) .

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DRL-robot-navigation

Deep Reinforcement Learning for mobile robot navigation in ROS Gazebo simulator. Using Twin Delayed Deep Deterministic Policy Gradient (TD3) neural network, a robot learns to navigate to a random goal point in a simulated environment while avoiding obstacles.

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fast_multi_robot_exploration

"Fast Multi-UAV Decentralized Exploration of Forests", RAL 2023

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UAV_Navigation_DRL_AirSim

This is a new repo used for training UAV navigation (local path planning) policy using DRL methods.

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rl_rvo_nav

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

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ego-planner

高飞团队的无人机自主规划器

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cqlite

CQLite: Coverage-biased Q-Learning Lite for Efficient Multi-Robot Exploration

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955.WLB

955 不加班的公司名单 - 工作 955,work–life balance (工作与生活的平衡)

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