Alternatives and similar repositories for DRL-path-planning:

Users that are interested in DRL-path-planning are comparing it to the libraries listed below

• m1ntzz / ppo_path_planning
  基于ppo的路径规划
  ☆29Updated last year
• behzaad / RL_PathPlanning
  Path Planning for the Robots Using Reinforcement Learning
  ☆34Updated 2 years ago
• Rainyforest / DQN-PathPlanning
  ☆40Updated 3 years ago
• islambarakat99 / Multi-Robot-Formation-Control-using-Deep-Reinforcement-Learning
  A leader-follower formation control using deep reinforcement learning environment, In which every agent can learn to follow the leader ag…
  ☆44Updated last year
• Vinson-sheep / multi_rotor_avoidance_rl
  DRL-based path planner for real quadrotor
  ☆40Updated last year
• TheMVS / UAV_SWARMS_RL_FIXED_OBSTACLES_MAPS
  ☆14Updated last year
• bithuanglq / APF_RL
  APF accelerates DQN in mobile robot path planning.
  ☆20Updated last year
• YueJIN-EE / HIST-MADRL
  Hierarchical and Stable Multiagent Reinforcement Learning for Cooperative Navigation Control
  ☆7Updated 2 years ago
• gelardrc / RRT_DQN_PATH_PLANNING
  Apresentation of a new path planning algorithm fusing RRT and DQN estrategies.
  ☆26Updated 2 years ago
• AndreuMatoses / scalable-collision-avoidance-RL
  Multi agent scalable reinforcement learning for formation control with collision avoidance
  ☆27Updated 3 months ago
• perpetualbrighten / PRE-DDQN
  Code for Deep Reinforcement Learning Based UAV Path Planning Algorithm in Agricultural Time-Constrained Data Collection
  ☆18Updated last year
• Sjtale / AUV-optimal-path-searching
  强化学习大作业
  ☆19Updated 8 months ago
• MBaranPeker / Pursuit-Evasion-Game-with-Deep-Reinforcement-Learning-in-an-environment-with-an-obstacle
  In this study, a multi agent chase-escape problem using Deep Q learning. Actors of the problem are smart evader and smart pursuers with o…
  ☆23Updated last year
• Shaswat2001 / Multi_Agent_Path_Finding
  Pytorch implementations of the multi-agent reinforcement learning algorithms, including QMIX, VDN, COMA, MADDPG, MATD3, FACMAC and MASoft…
  ☆31Updated last week
• Yanglong37 / keras-for-DQN
  Deep reinforcement learning (DQN) implements robot path planning
  ☆15Updated 4 years ago
• kashifmug / UAV_PathPlanning_using_DDQN
  This is a UAV path planning in a map-based environment using double deep Q-Network
  ☆25Updated last year
• lambdavi / path_planning_drl
  Researching new methods to leverage DeepRL for Coverage and Path Planning
  ☆14Updated last month
• shenmuxin / uav_tracking_metaRL
  This is a work on using meta-reinforcement learning to achieve autonomous target tracking and obstacle avoidance for UAVs
  ☆35Updated 6 months ago
• Emmanuel-Naive / MADDPG
  Use Multi-Agent Deep Deterministic Policy Gradient(DDPG) algorithm to find reasonable paths for ships
  ☆33Updated 2 years ago
• TenderMo / graduate_design
  基于MADDPG的多智能体博弈对抗算法
  ☆14Updated last year
• Vansh404 / PathPlanning_withRL
  Using Q-Learning Control for path planning of mobile agents in an enviroment.
  ☆15Updated 2 years ago
• lanton97 / MADDPG-Formation-Control
  ☆21Updated 3 years ago
• ZeinBarhoum / RL-quadrotor
  Reinforcement Learning for quadrotor trajectory planning and control
  ☆47Updated last year
• MengHsux / deep-reinforcement-learning-for-multi-agent-coverage-path-planning-
  Deep Reinforcement Learning for Image-Based Multi-Agent Coverage Path Planning
  ☆12Updated last year
• dmar-bonn / ipp-marl
  Multi-UAV Adaptive Path Planning Using Deep Reinforcement Learning
  ☆95Updated last year
• dhana-jaya-kumar / DeepRL_Path_Planner
  A framework for path-planing and obstacle avoidance using Deep Reinforcement Learning Techniques.
  ☆12Updated 3 years ago
• h-brenne / cppRL
  Coverage path planning with Reinforcement Learning
  ☆10Updated 2 years ago
• zzzzzyh111 / gazebo_uav_RL
  obstacle detection and avoidance for UAV via gazebo
  ☆46Updated last year
• oelin / darpy
  A user-friendly implementation of the DARP algorithm for multi-agent coverage path planning (MCPP).
  ☆15Updated 2 years ago
• jjurm / path-following-reinforcement-learning
  End-to-end reinforcement learning using DDPG and PPO algorithms in a simulated robot environment
  ☆17Updated 5 years ago