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• Identifiability and Generalizability in Constrained Inverse Reinforcement Learning
  2023 · 2 citations
• Efficient Model-based Multi-agent Reinforcement Learning via Optimistic Equilibrium Computation
  2022 · 1 citations
• Multi-Agent Learning in Contextual Games under Unknown Constraints
  2023 · 1 citations
• Independent Learning of Nash Equilibria in Partially Observable Markov Potential Games with Decoupled Dynamics
  2026
• Fast Rates for Inverse Reinforcement Learning
  2026
• Model-Based Learning of Near-Optimal Finite-Window Policies in POMDPs
  2026
• Constrained Meta Reinforcement Learning with Provable Test-Time Safety
  2026
• Efficient Preference-Based Reinforcement Learning: Randomized Exploration Meets Experimental Design
  2025
• Convergence of a model-free entropy-regularized inverse reinforcement learning algorithm
  2024
• A safe exploration approach to constrained Markov decision processes
  2023
• Learning in Zero-Sum Markov Games: Relaxing Strong Reachability and Mixing Time Assumptions
  2023
• Towards the Transferability of Rewards Recovered via Regularized Inverse Reinforcement Learning
  2024