Connectionists: RL Conference 2024 - Call for Workshop Proposals

[Josiah Hanna]

Before the RLC 2024 main conference, workshops on a variety of current topics will be held on August 9th, 2024 in Amherst, Massachusetts. We invite researchers interested in chairing a workshop to submit proposals.

Goal of RLC Workshops:
Workshops provide an informal, cutting-edge venue for discussion of works in progress and future directions. Good workshops have helped to crystallize common problems, explicitly contrast competing frameworks, and clarify essential questions for a subfield or application area.

Potential workshop topics include, but are not limited to, the following:
-Reinforcement learning algorithms,
-Theoretical foundations of reinforcement learning,
-Reinforcement learning in low-resource settings,
-Representation learning for reinforcement learning,
-Robustness, safety, and fairness in reinforcement learning,
-Exploration in reinforcement learning,
-Human-in-the-loop reinforcement learning and RLHF,
-Imitation learning and inverse reinforcement learning,
-Uncertainty in reinforcement learning,
-Applications of reinforcement learning: e.g., resource allocation, recommendation systems, robotics, healthcare, climate change, agriculture, pandemic response, etc,
-Societal impacts and policy aspects of reinforcement learning deployment,
-Any other topic relevant to an appreciable fraction of the RLC community.

Submission Instructions: https://rl-conference.cc/call_for_workshops.html

Workshop Application Deadline: 8 March 2024 (11:00 PM - Pacific Time)
Workshop Acceptance Notification: 20 March 2024

Best,
The RLC 2024 Workshop Co-Chairs
Daniel Brown, University of Utah
Josiah Hanna, University of Wisconsin, Madison

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