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Amato, Christopher

  1. Safe Multi-Agent Reinforcement Learning via Shielding
    2021/01/27 by Ingy Elsayed-Aly, Suda Bharadwaj, Elsayed-Aly, Ingy +9 · 7 citations
    Computer Science · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Formal Languages and Automata Theory (cs.FL) #Formal Methods in Verification #I.2.4 #I.2.6 #Machine Learning (cs.LG) #Reinforcement Learning in Robotics
  2. An Introduction to Centralized Training for Decentralized Execution in Cooperative Multi-Agent Reinforcement Learning
    2024/09/04 by Amato, Christopher · 13 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multiagent Systems (cs.MA)
  3. Deep Transformer Q-Networks for Partially Observable Reinforcement Learning
    2022/06/02 by Kevin Esslinger, Robert Platt, Esslinger, Kevin +3 · 5 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Reservoir Computing #Reinforcement Learning in Robotics
  4. Scalable Planning and Learning for Multiagent POMDPs: Extended Version
    2014/04/04 by Christopher Amato, Amato, Christopher, Frans A. Oliehoek +1 · 3 citations
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Reinforcement Learning in Robotics
  5. Active Goal Recognition
    2019/09/24 by Amato, Christopher, Baisero, Andrea · 3 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences
  6. Reconciling λ-Returns with Experience Replay
    2018/10/23 by Brett Daley, Daley, Brett, Christopher Amato +1 · 4 citations
    Computer Science · Economics, Econometrics and Finance · #Cloud Computing and Resource Management #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Stochastic processes and financial applications
  7. Asynchronous Actor-Critic for Multi-Agent Reinforcement Learning
    2022/09/20 by Yuchen Xiao, Weihao Tan, Xiao, Yuchen +3 · 4 citations
    Computer Science · Decision Sciences · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Auction Theory and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multiagent Systems (cs.MA) #Reinforcement Learning in Robotics #Robotics (cs.RO)
  8. Learning to Teach in Cooperative Multiagent Reinforcement Learning
    2018/05/20 by Omidshafiei, Shayegan, Kim, Dong-Ki, Liu, Miao +5 · 3 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Multiagent Systems (cs.MA)
  9. Equivariant Reinforcement Learning under Partial Observability
    2024/08/26 by Hai V. Nguyen, Nguyen, Hai, Andrea Baisero +9 · 7 citations
    Computer Science · Engineering · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Elevator Systems and Control #FOS: Computer and information sciences #Fault Detection and Control Systems #Robotics (cs.RO) #Software Reliability and Analysis Research
  10. Learning Multi-Robot Decentralized Macro-Action-Based Policies via a Centralized Q-Net
    2019/09/19 by Yuchen Xiao, Xiao, Yuchen, Joshua Hoffman +5 · 2 citations
    Computer Science · Engineering · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Reinforcement Learning in Robotics #Robot Manipulation and Learning #Robotic Path Planning Algorithms #Robotics (cs.RO)
  11. Leveraging Fully Observable Policies for Learning under Partial Observability
    2022/11/03 by Nguyen, Hai, Baisero, Andrea, Wang, Dian +2 · 2 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Robotics (cs.RO)
  12. LLM Collaboration With Multi-Agent Reinforcement Learning
    2025/08/06 by Shuo Liu, Liu, Shuo, Tianle Chen +7 · 1 voice · 9 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Software Engineering (cs.SE) #cs.AI #cs.SE
  13. Improving Deep Policy Gradients with Value Function Search
    2023/02/20 by Marchesini, Enrico, Amato, Christopher · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  14. Decentralized Control of Partially Observable Markov Decision Processes using Belief Space Macro-actions
    2015/02/20 by Shayegan Omidshafiei, Omidshafiei, Shayegan, Ali–akbar Agha–mohammadi +5 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Formal Methods in Verification #Logic, Reasoning, and Knowledge #Multiagent Systems (cs.MA) #Robotics (cs.RO)
  15. On-Robot Bayesian Reinforcement Learning for POMDPs
    2023/07/22 by Nguyen, Hai, Katt, Sammie, Xiao, Yuchen +1 · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Robotics (cs.RO)
  16. Vision and Language Navigation in the Real World via Online Visual Language Mapping
    2023/10/16 by Chengguang Xu, Xu, Chengguang, Hieu Thanh Nguyen +5 · 1 citation
    Computer Science · #Advanced Image and Video Retrieval Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Multimodal Machine Learning Applications #Robotic Path Planning Algorithms #Robotics (cs.RO) #Systems and Control (eess.SY) #electronic engineering #information engineering
  17. SleeperNets: Universal Backdoor Poisoning Attacks Against Reinforcement Learning Agents
    2024/05/30 by Ethan Rathbun, Rathbun, Ethan, Christopher Amato +3 · 1 citation
    Computer Science · #Advanced Malware Detection Techniques #Adversarial Robustness in Machine Learning #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Network Security and Intrusion Detection