A. Rupam Mahmood

1. Streaming Deep Reinforcement Learning Finally Works
   2024/10/18 by Mohamed Elsayed, Gautham Vasan, Elsayed, Mohamed +3 · 9 voices · 4 citations
   Computer Science · #Reinforcement Learning in Robotics #cs.AI #cs.LG
2. Benchmarking Reinforcement Learning Algorithms on Real-World Robots
   2018/09/20 by A. Rupam Mahmood, Dmytro Korenkevych, Mahmood, A. Rupam +7 · 9 citations
   Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics #Robotics (cs.RO)
3. Continual Backprop: Stochastic Gradient Descent with Persistent Randomness
   2021/08/13 by Shibhansh Dohare, Richard S. Sutton, Dohare, Shibhansh +3 · 8 citations
   Computer Science · #Domain Adaptation and Few-Shot Learning #Machine Learning and ELM #Adversarial Robustness in Machine Learning
4. Asynchronous Reinforcement Learning for Real-Time Control of Physical Robots
   2022/03/23 by Yufeng Yuan, Yuan, Yufeng, A. Rupam Mahmood +1 · 3 citations
   Computer Science · Decision Sciences · #Reinforcement Learning in Robotics #Advanced Bandit Algorithms Research #Optimization and Search Problems
5. Revisiting Sparse Rewards for Goal-Reaching Reinforcement Learning
   2024/06/29 by Gautham Vasan, Yan Wang, Vasan, Gautham +9 · 5 citations
   Computer Science · #Teaching and Learning Programming
6. Dynamic Decision Frequency with Continuous Options
   2022/12/06 by Amirmohammad Karimi, Karimi, Amirmohammad, Jun Jin +9 · 1 citation
   Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Artificial Intelligence (cs.AI) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics
7. More Efficient Randomized Exploration for Reinforcement Learning via Approximate Sampling
   2024/06/18 by Haque Ishfaq, Ishfaq, Haque, Yixin Tan +13 · 2 citations
   Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Artificial Intelligence (cs.AI) #Distributed Sensor Networks and Detection Algorithms #Energy Efficient Wireless Sensor Networks #FOS: Computer and information sciences #Machine Learning (cs.LG)
8. Deep Policy Gradient Methods Without Batch Updates, Target Networks, or Replay Buffers
   2024/11/22 by Gautham Vasan, Vasan, Gautham, Mohamed Elsayed +13 · 2 citations
   Computer Science · #Advanced Data Storage Technologies #Age of Information Optimization #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Robotics (cs.RO) #Stochastic Gradient Optimization Techniques #Systems and Control (eess.SY) #electronic engineering #information engineering
9. Real-Time Reinforcement Learning for Vision-Based Robotics Utilizing Local and Remote Computers
   2022/10/05 by Yan Wang, Gautham Vasan, Wang, Yan +3 · 1 citation
   Biochemistry, Genetics and Molecular Biology · Computer Science · #Artificial Intelligence (cs.AI) #Distributed Control Multi-Agent Systems #FOS: Computer and information sciences #Machine Learning (cs.LG) #Protein Degradation and Inhibitors #Reinforcement Learning in Robotics #Robotics (cs.RO)
10. Deep Random Features for Scalable Interpolation of Spatiotemporal Data
    2024/12/16 by Weibin Chen, A. Rupam Mahmood, Chen, Weibin +5 · 1 citation
    Computer Science · Environmental Science · #FOS: Computer and information sciences #Image Processing and 3D Reconstruction #Image Retrieval and Classification Techniques #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Remote Sensing and LiDAR Applications
11. Rethinking the Suitability of Reinforcement Learning Algorithms Under Practical Transfer Constraints
    2026/07/19 by Hany Hamed, Abhishek Naik, Colin Bellinger +1
    #cs.LG #cs.RO