259 citations · 838 across the 16 of their papers we have counts for
4 papers · 1 filter
Adversarial Imitation via Variational Inverse Reinforcement Learning
Ahmed H. Qureshi, Byron Boots, Michael C. Yip
We consider a problem of learning the reward and policy from expert examples under unknown dynamics. Our proposed method builds on the framework of generative adversarial networks…
Potentially Guided Bidirectionalized RRT* for Fast Optimal Path Planning in Cluttered Environments
Zaid Tahir, Ahmed H. Qureshi, Yasar Ayaz +1
Rapidly-exploring Random Tree star (RRT*) has recently gained immense popularity in the motion planning community as it provides a probabilistically complete and asymptotically opt…
Motion Planning Networks
Ahmed H. Qureshi, Anthony Simeonov, Mayur J. Bency +1
Fast and efficient motion planning algorithms are crucial for many state-of-the-art robotics applications such as self-driving cars. Existing motion planning methods become ineffec…
Intrinsically motivated reinforcement learning for human-robot interaction in the real-world
Ahmed Hussain Qureshi, Yutaka Nakamura, Yuichiro Yoshikawa +1
For a natural social human-robot interaction, it is essential for a robot to learn the human-like social skills. However, learning such skills is notoriously hard due to the limite…