activity
20182026
most citedCurriculum Learning for Reinforcement Learning Domains: A Framework and Survey

229 citations · 329 across the 32 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

cs.AI2020★ 4 cited

SPOTTER: Extending Symbolic Planning Operators through Targeted Reinforcement Learning

Vasanth Sarathy, Daniel Kasenberg, Shivam Goel +2

Symbolic planning models allow decision-making agents to sequence actions in arbitrary ways to achieve a variety of goals in dynamic domains. However, they are typically handcrafte…

cs.RO2020★ 3 cited

SENSAR: A Visual Tool for Intelligent Robots for Collaborative Human-Robot Interaction

Andre Cleaver, Faizan Muhammad, Amel Hassan +2

Establishing common ground between an intelligent robot and a human requires communication of the robot's intention, behavior, and knowledge to the human to build trust and assure…

cs.RO2020★ 3 cited

HAVEN: A Unity-based Virtual Robot Environment to Showcase HRI-based Augmented Reality

Andre Cleaver, Darren Tang, Victoria Chen +1

Due to the COVID-19 pandemic, conducting Human-Robot Interaction (HRI) studies in person is not permissible due to social distancing practices to limit the spread of the virus. The…

cs.RO2020

Proceedings of the AI-HRI Symposium at AAAI-FSS 2020

Shelly Bagchi, Jason R. Wilson, Muneeb I. Ahmad +9

The Artificial Intelligence (AI) for Human-Robot Interaction (HRI) Symposium has been a successful venue of discussion and collaboration since 2014. In that time, the related topic…

cs.LG2020★ 229 cited

Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey

Sanmit Narvekar, Bei Peng, Matteo Leonetti +3

Reinforcement learning (RL) is a popular paradigm for addressing sequential decision tasks in which the agent has only limited environmental feedback. Despite many advances over th…