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• Explainable Reinforcement Learning for Broad-XAI: A Conceptual Framework and Survey
  2021 · 5 citations
• Explainable Deep Reinforcement Learning Using Introspection in a Non-episodic Task
  2021 · 2 citations
• Evaluating Human-like Explanations for Robot Actions in Reinforcement Learning Scenarios
  2022 · 2 citations
• Elastic Step DQN: A novel multi-step algorithm to alleviate overestimation in Deep QNetworks
  2022 · 2 citations
• A Demonstration of Issues with Value-Based Multiobjective Reinforcement Learning Under Stochastic State Transitions
  2020 · 1 citations
• Discrete-to-Deep Supervised Policy Learning
  2020 · 1 citations
• Learning the Value Systems of Societies with Preference-based Multi-objective Reinforcement Learning
  2026
• Learning Rewards, Not Labels: Adversarial Inverse Reinforcement Learning for Machinery Fault Detection
  2026
• Ensemble Elastic DQN: A novel multi-step ensemble approach to address overestimation in deep value-based reinforcement learning