Synergy of Reinforcement Learning and Large Language Models Workshop at AAAI 2024 Large Language Models (LLMs) such as ChatGPT and GPT-4 have ushered in a new era of AI capabilities, while Reinforcement Learning (RL) has made significant strides in various domains. This workshop aims to explore the exciting potential of integrating LLMs and RL to enhance AI's capabilities further. Our primary objectives are to foster collaboration, share insights, and promote discussions on how these two fields can mutually benefit from each other. Topics We invite contributions across a broad spectrum of themes within the convergence of LLMs and RL, encompassing, but not limited to, the following: * Planning: Exploring how RL techniques can empower LLMs to make informed decisions over time, leading to coherent and goal-oriented interactions. * Exploration: Investigating strategies for LLMs to adaptively explore their environment using RL, optimizing the balance between proactively generating high-quality responses while exploring user preferences. * Personalization: Examining how LLMs can dynamically tailor their responses to individual user preferences and behaviors through RL, thereby enhancing user satisfaction. * Rich Representation: Exploring how LLMs can encode intricate environmental nuances, enabling RL agents to operate effectively in complex, non-Markovian scenarios. * Explainability: Investigating how LLMs can serve as interpreters, making RL agents' decisions more interpretable and transparent to humans. * Task Decomposition: Discussing ways in which LLMs can assist RL agents in breaking down high-level goals into manageable sub-tasks, optimizing problem-solving strategies. Format The workshop will be organized as a full-day event, featuring a mix of invited talks, panel discussions, paper presentations, and poster sessions. We encourage active participation, small-group discussions, and networking opportunities to facilitate knowledge exchange and collaboration. Submissions We expect 4-8 page anonymous submissions excluding references and supplemental materials. Submissions will be peer reviewed in a double-blinded fashion. Our workshop is non-archival. Ongoing and unpublished work are welcomed, yet published work at any venue will not be considered. Submit to: https://cmt3.research.microsoft.com/RLLLM2024 Submission deadline: November 24th 2023, AoE Logistics The workshop will be part of the AAAI 2024 workshops happening on Feb 26th or 27th in Vancouver Canada. Organizing Committee * Alborz Geramifard (Meta) * Yuxi Li (AlphaAgent.net) * Minmin Chen (Google) * Dilek Hakkani-Tur (UIUC) Workshop Website https://sites.google.com/view/rl-llm-aaai2024