Christopher Amato

収録論文 21本 ・ フィジカルAI/ロボット学習

※arXiv著者名で収集。同姓同名の別人の論文が含まれる場合があります。

論文

• Targeting World Models to Compromise Robot Learning Pipelines
  2026/6/1
• Cross-Modal Navigation with Multi-Agent Reinforcement Learning
  2026/5/1
• Beware Untrusted Simulators -- Reward-Free Backdoor Attacks in Reinforcement Learning
  2026/2/1
• Safe Multiagent Coordination via Entropic Exploration
  2024/12/1
• Equivariant Reinforcement Learning under Partial Observability
  2024/8/1
• Vision and Language Navigation in the Real World via Online Visual Language Mapping
  2023/10/1
• On-Robot Bayesian Reinforcement Learning for POMDPs
  2023/7/1
• Leveraging Fully Observable Policies for Learning under Partial Observability
  2022/11/1
• Asynchronous Actor-Critic for Multi-Agent Reinforcement Learning
  2022/9/1
• Hierarchical Reinforcement Learning under Mixed Observability
  2022/4/1
• Hierarchical Robot Navigation in Novel Environments using Rough 2-D Maps
  2021/6/1
• End-to-end grasping policies for human-in-the-loop robots via deep reinforcement learning
  2021/4/1
• Decentralized Reinforcement Learning for Multi-Target Search and Detection by a Team of Drones
  2021/3/1
• Belief-Grounded Networks for Accelerated Robot Learning under Partial Observability
  2020/10/1
• Macro-Action-Based Deep Multi-Agent Reinforcement Learning
  2020/4/1
• Learning Multi-Robot Decentralized Macro-Action-Based Policies via a Centralized Q-Net
  2019/9/1
• Learning for Multi-robot Cooperation in Partially Observable Stochastic Environments with Macro-actions
  2017/7/1
• Semantic-level Decentralized Multi-Robot Decision-Making using Probabilistic Macro-Observations
  2017/3/1
• Scalable Accelerated Decentralized Multi-Robot Policy Search in Continuous Observation Spaces
  2017/3/1
• Decentralized Control of Partially Observable Markov Decision Processes using Belief Space Macro-actions
  2015/2/1
• Planning for Decentralized Control of Multiple Robots Under Uncertainty
  2014/2/1