← authors · overview

• Learning for Multi-robot Cooperation in Partially Observable Stochastic Environments with Macro-actions
  2017 · 4 citations
• End-to-end grasping policies for human-in-the-loop robots via deep reinforcement learning
  2021 · 4 citations
• Belief-Grounded Networks for Accelerated Robot Learning under Partial Observability
  2020 · 3 citations
• Hierarchical Robot Navigation in Novel Environments using Rough 2-D Maps
  2021 · 3 citations
• Macro-action-based Deep Multi-agent Reinforcement Learning
  2020 · 2 citations
• Learning Multi-Robot Decentralized Macro-Action-Based Policies via a Centralized Q-Net
  2019 · 2 citations
• Equivariant Reinforcement Learning under Partial Observability
  2024 · 2 citations
• On-Robot Bayesian Reinforcement Learning for POMDPs
  2023 · 1 citations
• Cross-Modal Navigation with Multi-Agent Reinforcement Learning
  2026
• Hierarchical Reinforcement Learning under Mixed Observability
  2022
• Vision and Language Navigation in the Real World via Online Visual Language Mapping
  2023