agent behavior

Exploiting Geometric Structures for Modeling Multi-Agent Behaviors: A New Thinking AAAI 2026 Model Editing as a Double-Edged Sword: Steering Agent Behavior Toward Beneficence or Harm AAAI 2026 Process Evaluation for Agentic Systems EACL 2026 Agent Trajectory Explorer: Visualizing and Providing Feedback on Agent Trajectories AAAI 2025 Persona Dynamics: Unveiling the Impact of Persona Traits on Agents in Text-Based Games ACL 2025 PNAct: Crafting Backdoor Attacks in Safe Reinforcement Learning IJCAI 2025 Scenario Dreamer: Vectorized Latent Diffusion for Generating Driving Simulation Environments CVPR 2025 The Illusion of Randomness: How LLMs Fail to Emulate Stochastic Decision-Making in Rock-Paper-Scissors Games? EMNLP 2025 MARPLE: A Benchmark for Long-Horizon Inference NeurIPS 2024 PrivacyLens: Evaluating Privacy Norm Awareness of Language Models in Action NeurIPS 2024 Promptable Closed-loop Traffic Simulation CoRL 2024 PsySafe: A Comprehensive Framework for Psychological-based Attack, Defense, and Evaluation of Multi-agent System Safety ACL 2024 SceneDiffuser: Efficient and Controllable Driving Simulation Initialization and Rollout NeurIPS 2024 Select to Perfect: Imitating desired behavior from large multi-agent data ICLR 2024 Behavioral Analysis of Vision-and-Language Navigation Agents CVPR 2023 Emergence of Adaptive Circadian Rhythms in Deep Reinforcement Learning ICML 2023 Relative Behavioral Attributes: Filling the Gap between Symbolic Goal Specification and Reward Learning from Human Preferences ICLR 2023 Local and Global Explanations of Agent Behavior: Integrating Strategy Summaries with Saliency Maps (Extended Abstract) IJCAI 2022 Not a Number: Identifying Instance Features for Capability-Oriented Evaluation IJCAI 2022 How RL Agents Behave When Their Actions Are Modified AAAI 2021 Navigation Turing Test (NTT): Learning to Evaluate Human-Like Navigation ICML 2021 Stochastic model for sunk cost bias UAI 2021 Thou Shalt Love Thy Neighbor as Thyself When Thou Playest: Altruism in Game Theory AAAI 2021 Behaviour Suite for Reinforcement Learning ICLR 2020 Finding and Visualizing Weaknesses of Deep Reinforcement Learning Agents ICLR 2020