No Regrets: Investigating and Improving Regret Approximations for Curriculum Discoveryby Alexander Rutherford, Michael Beukman, Timon…
Unsupervised-to-Online Reinforcement Learningby Junsu Kim, Seohong Park, Sergey LevineFirst submitted to arxiv on: 27 Aug…
Dynamic operator management in meta-heuristics using reinforcement learning: an application to permutation flowshop scheduling problemsby…
Learning Robust Reward Machines from Noisy Labelsby Roko Parac, Lorenzo Nodari, Leo Ardon, Daniel Furelos-Blanco,…
Thresholded Lexicographic Ordered Multiobjective Reinforcement Learningby Alperen Tercan, Vinayak S. PrabhuFirst submitted to arxiv on:…
Rethinking State Disentanglement in Causal Reinforcement Learningby Haiyao Cao, Zhen Zhang, Panpan Cai, Yuhang Liu,…
Hybrid Training for Enhanced Multi-task Generalization in Multi-agent Reinforcement Learningby Mingliang Zhang, Sichang Su, Chengyang…
Mastering the Digital Art of War: Developing Intelligent Combat Simulation Agents for Wargaming Using Hierarchical…
Reduce, Reuse, Recycle: Categories for Compositional Reinforcement Learningby Georgios Bakirtzis, Michail Savvas, Ruihan Zhao, Sandeep…
Explainable Concept Generation through Vision-Language Preference Learningby Aditya Taparia, Som Sagar, Ransalu SenanayakeFirst submitted to…