A goal-driven autonomous exploration through deep reinforcement learning (ICRA 2022) system that combines reactive and planned robot navigation in unknown environments
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heuristic function in GDAM_env.py different from the paper? #8
Hi, I was trying to get the code running but there was some issue where the final goal was never selected as the POI, so I checked the GDAM_env.py. Correct me if I understood wrongly, it seems to me that the h score mentioned in the paper is calculated in the heuristic function, but the calculation is not the same as the one described in the paper?
this is the basic version of a heuristic for selecting POI. In the implementation, we used the calculation in the paper. The calculation is available at https://github.com/reiniscimurs/IDLE-heuristic
Hi, I was trying to get the code running but there was some issue where the final goal was never selected as the POI, so I checked the GDAM_env.py. Correct me if I understood wrongly, it seems to me that the h score mentioned in the paper is calculated in the heuristic function, but the calculation is not the same as the one described in the paper?
Thanks!