5 citations · 10 across the 10 of their papers we have counts for
4 papers · 1 filter
Tiered Acquisition for Constrained Bayesian Optimization: An Application to Analog Circuits
Ria Rashid, Abhishek Gupta
Analog circuit design can be considered as an optimization problem with the targeted circuit specifications as constraints. When stringent circuit specifications are considered, it…
Learning to Cooperate with Humans using Generative Agents
Yancheng Liang, Daphne Chen, Abhishek Gupta +2
Training agents that can coordinate zero-shot with humans is a key mission in multi-agent reinforcement learning (MARL). Current algorithms focus on training simulated human partne…
Personalizing Reinforcement Learning from Human Feedback with Variational Preference Learning
Sriyash Poddar, Yanming Wan, Hamish Ivison +2
Reinforcement Learning from Human Feedback (RLHF) is a powerful paradigm for aligning foundation models to human values and preferences. However, current RLHF techniques cannot acc…
Parameter Identification for Electrochemical Models of Lithium-Ion Batteries Using Bayesian Optimization
Jianzong Pi, Samuel Filgueira da Silva, Mehmet Fatih Ozkan +2
Efficient parameter identification of electrochemical models is crucial for accurate monitoring and control of lithium-ion cells. This process becomes challenging when applied to c…