← authors · overview

• Scalable Multi-Agent Reinforcement Learning for Networked Systems with Average Reward
  2020 · 23 citations
• Exploiting Fast Decaying and Locality in Multi-Agent MDP with Tree Dependence Structure
  2019 · 17 citations
• Combining Model-Based and Model-Free Methods for Nonlinear Control: A Provably Convergent Policy Gradient Approach
  2020 · 11 citations
• Multi-Agent Reinforcement Learning in Stochastic Networked Systems
  2020 · 8 citations
• CoVO-MPC: Theoretical Analysis of Sampling-based MPC and Optimal Covariance Design
  2024 · 1 citations
• Comparative Field Deployment of Reinforcement Learning and Model Predictive Control for Residential HVAC
  2025
• Thinking Beyond Visibility: A Near-Optimal Policy Framework for Locally Interdependent Multi-Agent MDPs
  2025
• Natural Policy Gradient for Average Reward Non-Stationary RL
  2025
• Mean-Field Sampling for Cooperative Multi-Agent Reinforcement Learning
  2024
• Efficient Reinforcement Learning for Global Decision Making in the Presence of Local Agents at Scale
  2024