Summary of Charme: a Chain-based Reinforcement Learning Approach For the Minor Embedding Problem, by Hoang M. Ngo et al.
CHARME: A chain-based reinforcement learning approach for the minor embedding problemby Hoang M. Ngo, Nguyen…
Summary of Failures Are Fated, but Can Be Faded: Characterizing and Mitigating Unwanted Behaviors in Large-scale Vision and Language Models, by Som Sagar et al.
Failures Are Fated, But Can Be Faded: Characterizing and Mitigating Unwanted Behaviors in Large-Scale Vision…
Summary of Sample Complexity Reduction Via Policy Difference Estimation in Tabular Reinforcement Learning, by Adhyyan Narang et al.
Sample Complexity Reduction via Policy Difference Estimation in Tabular Reinforcement Learningby Adhyyan Narang, Andrew Wagenmaker,…
Summary of Dnn Partitioning, Task Offloading, and Resource Allocation in Dynamic Vehicular Networks: a Lyapunov-guided Diffusion-based Reinforcement Learning Approach, by Zhang Liu and Hongyang Du and Junzhe Lin and Zhibin Gao and Lianfen Huang and Seyyedali Hosseinalipour and Dusit Niyato
DNN Partitioning, Task Offloading, and Resource Allocation in Dynamic Vehicular Networks: A Lyapunov-Guided Diffusion-Based Reinforcement…
Summary of Reinforced Compressive Neural Architecture Search For Versatile Adversarial Robustness, by Dingrong Wang et al.
Reinforced Compressive Neural Architecture Search for Versatile Adversarial Robustnessby Dingrong Wang, Hitesh Sapkota, Zhiqiang Tao,…
Summary of Plandq: Hierarchical Plan Orchestration Via D-conductor and Q-performer, by Chang Chen et al.
PlanDQ: Hierarchical Plan Orchestration via D-Conductor and Q-Performerby Chang Chen, Junyeob Baek, Fei Deng, Kenji…
Summary of Learning Continually by Spectral Regularization, By Alex Lewandowski et al.
Learning Continually by Spectral Regularizationby Alex Lewandowski, Michał Bortkiewicz, Saurabh Kumar, András György, Dale Schuurmans,…
Summary of Coprocessor Actor Critic: a Model-based Reinforcement Learning Approach For Adaptive Brain Stimulation, by Michelle Pan et al.
Coprocessor Actor Critic: A Model-Based Reinforcement Learning Approach For Adaptive Brain Stimulationby Michelle Pan, Mariah…
Summary of Boosting Robustness in Preference-based Reinforcement Learning with Dynamic Sparsity, by Calarina Muslimani and Bram Grooten and Deepak Ranganatha Sastry Mamillapalli and Mykola Pechenizkiy and Decebal Constantin Mocanu and Matthew E. Taylor
Boosting Robustness in Preference-Based Reinforcement Learning with Dynamic Sparsityby Calarina Muslimani, Bram Grooten, Deepak Ranganatha…
Summary of Adaptive Opponent Policy Detection in Multi-agent Mdps: Real-time Strategy Switch Identification Using Running Error Estimation, by Mohidul Haque Mridul et al.
Adaptive Opponent Policy Detection in Multi-Agent MDPs: Real-Time Strategy Switch Identification Using Running Error Estimationby…