Learning to detect, characterize and accommodate novelties is a challeng...
Preference Based Reinforcement Learning has shown much promise for utili...
Reinforcement Learning has suffered from poor reward specification, and
...
Preference-based Reinforcement Learning (PbRL) methods utilize binary
fe...
Specifying rewards for reinforcement learned (RL) agents is challenging....
Human-in-the-loop (HiL) reinforcement learning is gaining traction in do...
When humans are given a policy to execute, there can be policy execution...
Trust between team members is an essential requirement for any successfu...
Due to a drastic improvement in the quality of internet services worldwi...
As more and more complex AI systems are introduced into our day-to-day l...
Rapid advancements in the Internet of Things (IoT) have facilitated more...