Summary of Combinatorial Multi-armed Bandits: Arm Selection Via Group Testing, by Arpan Mukherjee et al.
Combinatorial Multi-armed Bandits: Arm Selection via Group Testingby Arpan Mukherjee, Shashanka Ubaru, Keerthiram Murugesan, Karthikeyan…
Combinatorial Multi-armed Bandits: Arm Selection via Group Testingby Arpan Mukherjee, Shashanka Ubaru, Keerthiram Murugesan, Karthikeyan…
Continual Deep Reinforcement Learning to Prevent Catastrophic Forgetting in Jamming Mitigationby Kemal Davaslioglu, Sastry Kompella,…
Learning Sub-Second Routing Optimization in Computer Networks requires Packet-Level Dynamicsby Andreas Boltres, Niklas Freymuth, Patrick…
Diversity-Aware Reinforcement Learning for de novo Drug Designby Hampus Gummesson Svensson, Christian Tyrchan, Ola Engkvist,…
Large Language Model-Enhanced Reinforcement Learning for Generic Bus Holding Control Strategiesby Jiajie Yu, Yuhong Wang,…
QUIS: Question-guided Insights Generation for Automated Exploratory Data Analysisby Abhijit Manatkar, Ashlesha Akella, Parthivi Gupta,…
Stable Hadamard Memory: Revitalizing Memory-Augmented Agents for Reinforcement Learningby Hung Le, Kien Do, Dung Nguyen,…
Improved Regret Bound for Safe Reinforcement Learning via Tighter Cost Pessimism and Reward Optimismby Kihyun…
Make the Pertinent Salient: Task-Relevant Reconstruction for Visual Control with Distractionsby Kyungmin Kim, JB Lanier,…
Dynamic Estimation of Learning Rates Using a Non-Linear Autoregressive Modelby Ramin OkhratiFirst submitted to arxiv…