3 papers
cs.LG2026
Learning to Perceive the World Through Control: Empowerment-Based Representation Learning
Mahsa Bastankhah, Sophie Broderick, Benjamin Eysenbach
In many practical reinforcement learning environments, observations are far higher-dimensional than the variables that matter for control. In this work, we ask: can we learn repres…
cs.LG2025
Demystifying the Mechanisms Behind Emergent Exploration in Goal-conditioned RL
Mahsa Bastankhah, Grace Liu, Dilip Arumugam +2
In this work, we take a first step toward elucidating the mechanisms behind emergent exploration in unsupervised reinforcement learning. We study Single-Goal Contrastive Reinforcem…
cs.SI2025
AgileRate: Bringing Adaptivity and Robustness to DeFi Lending Markets
Mahsa Bastankhah, Viraj Nadkarni, Xuechao Wang +1
Decentralized Finance (DeFi) has revolutionized lending by replacing intermediaries with algorithm-driven liquidity pools. However, existing platforms like Aave and Compound rely o…