conftrace_

policy explanation

13 papers

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Co-occurring keywords · papers mentioning both

reinforcement learning (5) explainable ai (3) multi-agent reinforcement learning (3) agent cooperation (2) adversarial attack (2) formal methods (2) deep reinforcement learning (2) counterfactual justification (1) important state (1) prototype-based explanation (1)

Papers

Explaining Decentralized Multi-Agent Reinforcement Learning Policies AAAI 2026 Understanding Individual Agent Importance in Multi-Agent System via Counterfactual Reasoning AAAI 2025 Autonomous Policy Explanations for Effective Human-Machine Teaming AAAI 2024 SHINE: Shielding Backdoors in Deep Reinforcement Learning ICML 2024 Autonomous Justification for Enabling Explainable Decision Support in Human-Robot Teaming RSS 2023 Explaining RL Decisions with Trajectories ICLR 2023 Local Explanations for Reinforcement Learning AAAI 2023 StateMask: Explaining Deep Reinforcement Learning through State Mask NeurIPS 2023 Explainable Reinforcement Learning via Model Transforms NeurIPS 2022 ProtoX: Explaining a Reinforcement Learning Agent via Prototyping NeurIPS 2022 Reinforcement Learning Explainability via Model Transforms (Student Abstract) AAAI 2022 Toward Policy Explanations for Multi-Agent Reinforcement Learning IJCAI 2022 EDGE: Explaining Deep Reinforcement Learning Policies NeurIPS 2021