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Pouya Hamadanian

2 accepted papers

2025

Online Reinforcement Learning in Non-Stationary Context-Driven Environments

ICLR 2025spotlight

We study online reinforcement learning (RL) in non-stationary environments, where a time-varying exogenous context process affects the environment dynamics. Online RL is challenging in such environments due to "catastrophic forgetting" (CF). The agent tends to forget prior knowledge as it trains on…

2021

Real-Time Video Inference on Edge Devices via Adaptive Model Streaming

ICCV 2021poster

Real-time video inference on edge devices like mobile phones and drones is challenging due to the high computation cost of Deep Neural Networks. We present Adaptive Model Streaming (AMS), a new approach to improving the performance of efficient lightweight models for video inference on edge devices.…

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