CAGES: Cost-Aware Gradient Entropy Search for Efficient Local Multi-Fidelity Bayesian Optimizationby Wei-Ting Tang, Joel A.…
Intrinsic Rewards for Exploration without Harm from Observational Noise: A Simulation Study Based on the…
Ensemble Successor Representations for Task Generalization in Offline-to-Online Reinforcement Learningby Changhong Wang, Xudong Yu, Chenjia…
Auditing an Automatic Grading Model with deep Reinforcement Learningby Aubrey Condor, Zachary PardosFirst submitted to…
On-Demand Model and Client Deployment in Federated Learning with Deep Reinforcement Learningby Mario Chahoud, Hani…
Fairness in Reinforcement Learning: A Surveyby Anka Reuel, Devin MaFirst submitted to arxiv on: 11…
Semi-supervised Anomaly Detection via Adaptive Reinforcement Learning-Enabled Method with Causal Inference for Sensor Signalsby Xiangwei…
Scalable and Effective Arithmetic Tree Generation for Adder and Multiplier Designsby Yao Lai, Jinxin Liu,…
A First Introduction to Cooperative Multi-Agent Reinforcement Learningby Christopher AmatoFirst submitted to arxiv on: 10…
Contrastive Representation for Data Filtering in Cross-Domain Offline Reinforcement Learningby Xiaoyu Wen, Chenjia Bai, Kang…