Summary of To the Max: Reinventing Reward in Reinforcement Learning, by Grigorii Veviurko et al.
To the Max: Reinventing Reward in Reinforcement Learningby Grigorii Veviurko, Wendelin Böhmer, Mathijs de WeerdtFirst…
Summary of Efficient Reinforcement Learning For Routing Jobs in Heterogeneous Queueing Systems, by Neharika Jali et al.
Efficient Reinforcement Learning for Routing Jobs in Heterogeneous Queueing Systemsby Neharika Jali, Guannan Qu, Weina…
Summary of Near-optimal Reinforcement Learning with Self-play Under Adaptivity Constraints, by Dan Qiao et al.
Near-Optimal Reinforcement Learning with Self-Play under Adaptivity Constraintsby Dan Qiao, Yu-Xiang WangFirst submitted to arxiv…
Summary of Alpharank: An Artificial Intelligence Approach For Ranking and Selection Problems, by Ruihan Zhou et al.
AlphaRank: An Artificial Intelligence Approach for Ranking and Selection Problemsby Ruihan Zhou, L. Jeff Hong,…
Summary of Closure Discovery For Coarse-grained Partial Differential Equations Using Grid-based Reinforcement Learning, by Jan-philipp Von Bassewitz et al.
Closure Discovery for Coarse-Grained Partial Differential Equations Using Grid-based Reinforcement Learningby Jan-Philipp von Bassewitz, Sebastian…
Summary of Control-theoretic Techniques For Online Adaptation Of Deep Neural Networks in Dynamical Systems, by Jacob G. Elkins and Farbod Fahimi
Control-Theoretic Techniques for Online Adaptation of Deep Neural Networks in Dynamical Systemsby Jacob G. Elkins,…
Summary of Augmenting Offline Reinforcement Learning with State-only Interactions, by Shangzhe Li and Xinhua Zhang
Augmenting Offline Reinforcement Learning with State-only Interactionsby Shangzhe Li, Xinhua ZhangFirst submitted to arxiv on:…
Summary of Slim: Skill Learning with Multiple Critics, by David Emukpere et al.
SLIM: Skill Learning with Multiple Criticsby David Emukpere, Bingbing Wu, Julien Perez, Jean-Michel RendersFirst submitted…
Summary of Leveraging Approximate Model-based Shielding For Probabilistic Safety Guarantees in Continuous Environments, by Alexander W. Goodall et al.
Leveraging Approximate Model-based Shielding for Probabilistic Safety Guarantees in Continuous Environmentsby Alexander W. Goodall, Francesco…
Summary of Adaptive Primal-dual Method For Safe Reinforcement Learning, by Weiqin Chen et al.
Adaptive Primal-Dual Method for Safe Reinforcement Learningby Weiqin Chen, James Onyejizu, Long Vu, Lan Hoang,…