Pinned Repositories
ppo_path_planning
基于ppo的路径规划
model-based-rl-navigation
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.
drl_local_planner_ros_stable_baselines
mopo
Code for MOPO: Model-based Offline Policy Optimization
Stretch-DRL
Goal-driven autonomous navigation with dynamic obstacle avoidance for Stretch RE1.
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