27 citations · 108 across the 34 of their papers we have counts for
4 papers · 1 filter
Energy System Digitization in the Era of AI: A Three-Layered Approach towards Carbon Neutrality
Le Xie, Tong Huang, Xiangtian Zheng +6
The transition towards carbon-neutral electricity is one of the biggest game changers in addressing climate change since it addresses the dual challenges of removing carbon emissio…
Enhanced Meta Reinforcement Learning using Demonstrations in Sparse Reward Environments
Desik Rengarajan, Sapana Chaudhary, Jaewon Kim +2
Meta reinforcement learning (Meta-RL) is an approach wherein the experience gained from solving a variety of tasks is distilled into a meta-policy. The meta-policy, when adapted ov…
OpenGridGym: An Open-Source AI-Friendly Toolkit for Distribution Market Simulation
Rayan El Helou, Kiyeob Lee, Dongqi Wu +3
This paper presents OpenGridGym, an open-source Python-based package that allows for seamless integration of distribution market simulation with state-of-the-art artificial intelli…
Reinforcement Learning with Sparse Rewards using Guidance from Offline Demonstration
Desik Rengarajan, Gargi Vaidya, Akshay Sarvesh +2
A major challenge in real-world reinforcement learning (RL) is the sparsity of reward feedback. Often, what is available is an intuitive but sparse reward function that only indica…