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• Approximate information state for approximate planning and reinforcement learning in partially observed systems
  2020 · 15 citations
• Dealing With Non-stationarity in Decentralized Cooperative Multi-Agent Deep Reinforcement Learning via Multi-Timescale Learning
  2023 · 5 citations
• Structure-aware reinforcement learning for node-overload protection in mobile edge computing
  2021 · 4 citations
• On learning history based policies for controlling Markov decision processes
  2022 · 1 citations
• Bridging State and History Representations: Understanding Self-Predictive RL
  2024 · 1 citations
• Risk-seeking conservative policy iteration with agent-state based policies for Dec-POMDPs with guaranteed convergence
  2026
• Operator-Theoretic Foundations and Policy Gradient Methods for General MDPs with Unbounded Costs
  2026
• Convergence of regularized agent-state-based Q-learning in POMDPs
  2025
• A Theoretical Justification for Asymmetric Actor-Critic Algorithms