5 papers
Adaptive Memory Crystallization for Autonomous AI Agent Learning in Dynamic Environments
Rajat Khanda, Mohammad Baqar, Sambuddha Chakrabarti +1
Autonomous AI agents operating in dynamic environments face a persistent challenge: acquiring new capabilities without erasing prior knowledge. We present Adaptive Memory Crystalli…
Analyzing Performance and Scalability of Benders Decomposition for Generation and Transmission Expansion Planning Models
David L. Cole, Michael Lau, Xinliang Dai +2
Generation and Transmission Expansion Planning (GTEP) problems co-optimize generation and transmission expansion, enabling them to provide better planning decisions than traditiona…
Extending Group Relative Policy Optimization to Continuous Control: A Theoretical Framework for Robotic Reinforcement Learning
Rajat Khanda, Mohammad Baqar, Sambuddha Chakrabarti +1
Group Relative Policy Optimization (GRPO) has shown promise in discrete action spaces by eliminating value function dependencies through group-based advantage estimation. However,…
Transmission Investment Coordination using MILP Lagrange Dual Decomposition and Auxiliary Problem Principle
Sambuddha Chakrabarti, Hosna Khajeh, Thomas R Nudell +2
This paper considers the investment coordination problem for the long term transmission capacity expansion in a situation where there are multiple regional Transmission Planners (T…
Look-Ahead SCOPF (LASCOPF) for Tracking Demand Variation via Auxiliary Proximal Message Passing (APMP) Algorithm
Sambuddha Chakrabarti, Ross Baldick
In this paper, we will consider the Look-Ahead Security Constrained Optimal Power Flow (LASCOPF) problem looking forward multiple dispatch intervals, in which the load demand varie…