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• Emergent Escape-based Flocking Behavior using Multi-Agent Reinforcement Learning
  2019 · 11 citations
• Leveraging Statistical Multi-Agent Online Planning with Emergent Value Function Approximation
  2018 · 5 citations
• Distributed Policy Iteration for Scalable Approximation of Cooperative Multi-Agent Policies
  2019 · 2 citations
• Attention-Based Recurrence for Multi-Agent Reinforcement Learning under Stochastic Partial Observability
  2023 · 2 citations
• Uncertainty-Based Out-of-Distribution Detection in Deep Reinforcement Learning
  2019 · 1 citations
• Case-Based Inverse Reinforcement Learning Using Temporal Coherence
  2022 · 1 citations
• DIRECT: Learning from Sparse and Shifting Rewards using Discriminative Reward Co-Training
  2023 · 1 citations
• Challenges for Reinforcement Learning in Quantum Circuit Design
  2023 · 1 citations
• REACT: Revealing Evolutionary Action Consequence Trajectories for Interpretable Reinforcement Learning
  2024
• A Study on Optimization Techniques for Variational Quantum Circuits in Reinforcement Learning
  2024
• Optimizing Variational Quantum Circuits Using Metaheuristic Strategies in Reinforcement Learning
  2024
• Optimizing Sensor Redundancy in Sequential Decision-Making Problems
  2024