Summary of Amuse: Adaptive Model Updating Using a Simulated Environment, by Louis Chislett et al.
AMUSE: Adaptive Model Updating using a Simulated Environmentby Louis Chislett, Catalina A. Vallejos, Timothy I.…
Summary of Transferlight: Zero-shot Traffic Signal Control on Any Road-network, by Johann Schmidt et al.
TransferLight: Zero-Shot Traffic Signal Control on any Road-Networkby Johann Schmidt, Frank Dreyer, Sayed Abid Hashimi,…
Summary of In-dataset Trajectory Return Regularization For Offline Preference-based Reinforcement Learning, by Songjun Tu et al.
In-Dataset Trajectory Return Regularization for Offline Preference-based Reinforcement Learningby Songjun Tu, Jingbo Sun, Qichao Zhang,…
Summary of Fawac: Feasibility Informed Advantage Weighted Regression For Persistent Safety in Offline Reinforcement Learning, by Prajwal Koirala et al.
FAWAC: Feasibility Informed Advantage Weighted Regression for Persistent Safety in Offline Reinforcement Learningby Prajwal Koirala,…
Summary of Efficient Reinforcement Learning For Optimal Control with Natural Images, by Peter N. Loxley
Efficient Reinforcement Learning for Optimal Control with Natural Imagesby Peter N. LoxleyFirst submitted to arxiv…
Summary of Radiology Report Generation Via Multi-objective Preference Optimization, by Ting Xiao et al.
Radiology Report Generation via Multi-objective Preference Optimizationby Ting Xiao, Lei Shi, Peng Liu, Zhe Wang,…
Summary of Latent Safety-constrained Policy Approach For Safe Offline Reinforcement Learning, by Prajwal Koirala et al.
Latent Safety-Constrained Policy Approach for Safe Offline Reinforcement Learningby Prajwal Koirala, Zhanhong Jiang, Soumik Sarkar,…
Summary of Irl For Restless Multi-armed Bandits with Applications in Maternal and Child Health, by Gauri Jain et al.
IRL for Restless Multi-Armed Bandits with Applications in Maternal and Child Healthby Gauri Jain, Pradeep…
Summary of Maestromotif: Skill Design From Artificial Intelligence Feedback, by Martin Klissarov et al.
MaestroMotif: Skill Design from Artificial Intelligence Feedbackby Martin Klissarov, Mikael Henaff, Roberta Raileanu, Shagun Sodhani,…
Summary of Sinergym — a Virtual Testbed For Building Energy Optimization with Reinforcement Learning, by Alejandro Campoy-nieves et al.
SINERGYM – A virtual testbed for building energy optimization with Reinforcement Learningby Alejandro Campoy-Nieves, Antonio…