326 citations · 1k across the 67 of their papers we have counts for
3 papers · 1 filter
Physics-Informed Model-Based Reinforcement Learning
Adithya Ramesh, Balaraman Ravindran
We apply reinforcement learning (RL) to robotics tasks. One of the drawbacks of traditional RL algorithms has been their poor sample efficiency. One approach to improve the sample…
Matching options to tasks using Option-Indexed Hierarchical Reinforcement Learning
Kushal Chauhan, Soumya Chatterjee, Akash Reddy +2
The options framework in Hierarchical Reinforcement Learning breaks down overall goals into a combination of options or simpler tasks and associated policies, allowing for abstract…
Evolutionary Approach to Security Games with Signaling
Adam Żychowski, Jacek Mańdziuk, Elizabeth Bondi +3
Green Security Games have become a popular way to model scenarios involving the protection of natural resources, such as wildlife. Sensors (e.g. drones equipped with cameras) have…