adversarial reinforcement learning

Attack for Defense: Adversarial Agents for Point Prompt Optimization Empowering Segment Anything Model CVPR 2026 On Minimizing Adversarial Counterfactual Error in Adversarial Reinforcement Learning ICLR 2025 Improved Algorithm for Adversarial Linear Mixture MDPs with Bandit Feedback and Unknown Transition AISTATS 2024 Online Matching with Stochastic Rewards: Provable Better Bound via Adversarial Reinforcement Learning ICML 2024 Robust Adversarial Reinforcement Learning via Bounded Rationality Curricula ICLR 2024 Scale-free Adversarial Reinforcement Learning COLT 2024 Deception Game: Closing the Safety-Learning Loop in Interactive Robot Autonomy CoRL 2023 Efficient Rate Optimal Regret for Adversarial Contextual MDPs Using Online Function Approximation ICML 2023 Near-Optimal Adversarial Reinforcement Learning with Switching Costs ICLR 2023 Robust Adversarial Reinforcement Learning with Dissipation Inequation Constraint AAAI 2022 Learning Generalizable Visual Representations via Interactive Gameplay ICLR 2021 Finding Needles in a Moving Haystack: Prioritizing Alerts with Adversarial Reinforcement Learning AAAI 2020 Robust Market Making via Adversarial Reinforcement Learning IJCAI 2020 AD-VAT: An Asymmetric Dueling mechanism for learning Visual Active Tracking ICLR 2019 Failure-Scenario Maker for Rule-Based Agent using Multi-agent Adversarial Reinforcement Learning and its Application to Autonomous Driving IJCAI 2019