Mohamed Elsayed

4 papers · 2020–2024 · 4 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird 👥 Mega-Team · Squad 👑 Triple Crown

Venues

CoRL (1) ICLR (1) ICML (1) NeurIPS (1)

Top co-authors

A. Rupam Mahmood (3) Nhat Nguyen (1) IMAN FADAKAR (1) Wulong Liu (1) Alexander Cowen-Rivers (1) Peyman Yadmellat (1) Yihan Ni (1) Martha White (1) Jianye Hao (1) Zheng Chen (1)

Research topics

Artificial Intelligence (2) Machine Learning (2) Reinforcement Learning (2) Applications (2) Core AI (2) Methods (2) Optimization & Theory (2) Deep Learning (1) Learning Paradigms (1) Learning Types (1) Techniques (1)

Keywords

reinforcement learning (3) representation learning (1) continual learning (1) catastrophic forgetting (1) online learning (1) robotic manipulation (1) policy gradient (1) autonomous driving (1) incremental learning (1) gradient descent (1) multi-agent learning (1) action value (1) second-order information (1) incremental deep policy gradient (1) replay buffer (1) robotic manipulator (1) mobile robot (1) batch policy gradient (1) loss of plasticity (1) multi-agent simulation (1)

Papers

Addressing Loss of Plasticity and Catastrophic Forgetting in Continual Learning ICLR 2024 Deep Policy Gradient Methods Without Batch Updates, Target Networks, or Replay Buffers NeurIPS 2024 Revisiting Scalable Hessian Diagonal Approximations for Applications in Reinforcement Learning ICML 2024 SMARTS: An Open-Source Scalable Multi-Agent RL Training School for Autonomous Driving CoRL 2020