DWA-RL
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NithishkumarS
Novel reinforcement learning based local planner that accounts for the dynamic constraints of the robot to enable smooth robot trajectories. Reward shaping is done to enable a spatially aware navigati...
yk2004@ikun:~$ git clone https://github.com/NithishkumarS/DWA-RL.git Cloning into 'DWA-RL'... remote: Enumerating objects: 170, done. remote: Counting objects: 100% (5/5), done. remote: Compressing objects: 100% (5/5), done. remote: Total 170 (delta 0), reused...
Hi @NithishkumarS i am interested in your project. but i could not find stable_baseline.py file in src. and also could you tell me the detail of the environment list?
I want to know what's the motive behind using N previous velocities, using n previous obstacle positions is understandable but I am unable to figure out the reason behind the...
How are you @NithishkumarS . I have sent you a gmail, Thank you for your response. Here is a list which is wanted. 1. DWA-RL novel reward, and static reward...
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Novel reinforcement learning based local planner that accounts for the dynamic constraints of the robot to enable smooth robot trajectories. Reward shaping is done to enable a spatially aware navigati...