22 citations · 37 across the 2 of their papers we have counts for
3 papers
Graph Neural Networks for Motion Planning
Arbaaz Khan, Alejandro Ribeiro, Vijay Kumar +1
This paper investigates the feasibility of using Graph Neural Networks (GNNs) for classical motion planning problems. We propose guiding both continuous and discrete planning algor…
Evolving Rewards to Automate Reinforcement Learning
Aleksandra Faust, Anthony Francis, Dar Mehta
Many continuous control tasks have easily formulated objectives, yet using them directly as a reward in reinforcement learning (RL) leads to suboptimal policies. Therefore, many cl…
PRM-RL: Long-range Robotic Navigation Tasks by Combining Reinforcement Learning and Sampling-based Planning
Aleksandra Faust, Oscar Ramirez, Marek Fiser +4
We present PRM-RL, a hierarchical method for long-range navigation task completion that combines sampling based path planning with reinforcement learning (RL). The RL agents learn…