Deep Reinforcement Learning for mobile robot navigation in IR-SIM simulation. Using DRL (SAC, TD3, PPO, DDPG) neural networks, a robot learns to navigate to a random goal point in a simulated environment while avoiding obstacles.
ddpg obstacle-avoidance sac drl ppo robot-navigation obstacle-avoidance-robot td3 ddpg-pytorch ppo-pytorch sac-pytorch drl-pytorch td3-pytorch ir-sim
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Updated
Mar 17, 2025 - Python