Summary of Balancing the Scales: Reinforcement Learning For Fair Classification, by Leon Eshuijs et al.
Balancing the Scales: Reinforcement Learning for Fair Classificationby Leon Eshuijs, Shihan Wang, Antske FokkensFirst submitted…
Summary of Last-iterate Global Convergence Of Policy Gradients For Constrained Reinforcement Learning, by Alessandro Montenegro and Marco Mussi and Matteo Papini and Alberto Maria Metelli
Last-Iterate Global Convergence of Policy Gradients for Constrained Reinforcement Learningby Alessandro Montenegro, Marco Mussi, Matteo…
Summary of Towards Adapting Reinforcement Learning Agents to New Tasks: Insights From Q-values, by Ashwin Ramaswamy and Ransalu Senanayake
Towards Adapting Reinforcement Learning Agents to New Tasks: Insights from Q-Valuesby Ashwin Ramaswamy, Ransalu SenanayakeFirst…
Summary of Enhancing Building Safety Design For Active Shooter Incidents: Exploration Of Building Exit Parameters Using Reinforcement Learning-based Simulations, by Ruying Liu et al.
Enhancing Building Safety Design for Active Shooter Incidents: Exploration of Building Exit Parameters using Reinforcement…
Summary of G-pcgrl: Procedural Graph Data Generation Via Reinforcement Learning, by Florian Rupp et al.
G-PCGRL: Procedural Graph Data Generation via Reinforcement Learningby Florian Rupp, Kai EckertFirst submitted to arxiv…
Summary of Deflated Dynamics Value Iteration, by Jongmin Lee et al.
Deflated Dynamics Value Iterationby Jongmin Lee, Amin Rakhsha, Ernest K. Ryu, Amir-massoud FarahmandFirst submitted to…
Summary of Superpadl: Scaling Language-directed Physics-based Control with Progressive Supervised Distillation, by Jordan Juravsky et al.
SuperPADL: Scaling Language-Directed Physics-Based Control with Progressive Supervised Distillationby Jordan Juravsky, Yunrong Guo, Sanja Fidler,…
Summary of Learning to Steer Markovian Agents Under Model Uncertainty, by Jiawei Huang et al.
Learning to Steer Markovian Agents under Model Uncertaintyby Jiawei Huang, Vinzenz Thoma, Zebang Shen, Heinrich…
Summary of Global Reinforcement Learning: Beyond Linear and Convex Rewards Via Submodular Semi-gradient Methods, by Riccardo De Santi et al.
Global Reinforcement Learning: Beyond Linear and Convex Rewards via Submodular Semi-gradient Methodsby Riccardo De Santi,…
Summary of Investigating the Interplay Of Prioritized Replay and Generalization, by Parham Mohammad Panahi et al.
Investigating the Interplay of Prioritized Replay and Generalizationby Parham Mohammad Panahi, Andrew Patterson, Martha White,…