Summary of Ed-copilot: Reduce Emergency Department Wait Time with Language Model Diagnostic Assistance, by Liwen Sun et al.
ED-Copilot: Reduce Emergency Department Wait Time with Language Model Diagnostic Assistanceby Liwen Sun, Abhineet Agarwal,…
Summary of Analyzing Operator States and the Impact Of Ai-enhanced Decision Support in Control Rooms: a Human-in-the-loop Specialized Reinforcement Learning Framework For Intervention Strategies, by Ammar N. Abbas et al.
Analyzing Operator States and the Impact of AI-Enhanced Decision Support in Control Rooms: A Human-in-the-Loop…
Summary of Discovering Behavioral Modes in Deep Reinforcement Learning Policies Using Trajectory Clustering in Latent Space, by Sindre Benjamin Remman and Anastasios M. Lekkas
Discovering Behavioral Modes in Deep Reinforcement Learning Policies Using Trajectory Clustering in Latent Spaceby Sindre…
Summary of Align Your Intents: Offline Imitation Learning Via Optimal Transport, by Maksim Bobrin et al.
Align Your Intents: Offline Imitation Learning via Optimal Transportby Maksim Bobrin, Nazar Buzun, Dmitrii Krylov,…
Summary of Skill or Luck? Return Decomposition Via Advantage Functions, by Hsiao-ru Pan et al.
Skill or Luck? Return Decomposition via Advantage Functionsby Hsiao-Ru Pan, Bernhard SchölkopfFirst submitted to arxiv…
Summary of Uniform Last-iterate Guarantee For Bandits and Reinforcement Learning, by Junyan Liu et al.
Uniform Last-Iterate Guarantee for Bandits and Reinforcement Learningby Junyan Liu, Yunfan Li, Ruosong Wang, Lin…
Summary of Offline Multi-task Transfer Rl with Representational Penalization, by Avinandan Bose et al.
Offline Multi-task Transfer RL with Representational Penalizationby Avinandan Bose, Simon Shaolei Du, Maryam FazelFirst submitted…
Summary of Reflect-rl: Two-player Online Rl Fine-tuning For Lms, by Runlong Zhou et al.
Reflect-RL: Two-Player Online RL Fine-Tuning for LMsby Runlong Zhou, Simon S. Du, Beibin LiFirst submitted…
Summary of Beyond Worst-case Attacks: Robust Rl with Adaptive Defense Via Non-dominated Policies, by Xiangyu Liu et al.
Beyond Worst-case Attacks: Robust RL with Adaptive Defense via Non-dominated Policiesby Xiangyu Liu, Chenghao Deng,…
Summary of In Value-based Deep Reinforcement Learning, a Pruned Network Is a Good Network, by Johan Obando-ceron and Aaron Courville and Pablo Samuel Castro
In value-based deep reinforcement learning, a pruned network is a good networkby Johan Obando-Ceron, Aaron…