Agent Systems

Plan-Seq-Learn: Language Model Guided RL for Solving Long Horizon Robotics Tasks ICLR 2024 Plausibly Problematic Questions in Multiple-Choice Benchmarks for Commonsense Reasoning EMNLP 2024 POAM: Probabilistic Online Attentive Mapping for Efficient Robotic Information Gathering RSS 2024 PoCo: Policy Composition from and for Heterogeneous Robot Learning RSS 2024 Point Cloud Matters: Rethinking the Impact of Different Observation Spaces on Robot Learning NeurIPS 2024 Polarization of Autonomous Generative AI Agents Under Echo Chambers ACL 2024 Policy Improvement using Language Feedback Models NeurIPS 2024 Policy Learning from Tutorial Books via Understanding, Rehearsing and Introspecting NeurIPS 2024 Policy Mirror Descent with Lookahead NeurIPS 2024 Policy-shaped prediction: avoiding distractions in model-based reinforcement learning NeurIPS 2024 Position: A Call for Embodied AI ICML 2024 Position: AI-Powered Autonomous Weapons Risk Geopolitical Instability and Threaten AI Research ICML 2024 Position: Foundation Agents as the Paradigm Shift for Decision Making ICML 2024 Position: Levels of AGI for Operationalizing Progress on the Path to AGI ICML 2024 Position: Towards Unified Alignment Between Agents, Humans, and Environment ICML 2024 Power-Aware Inverse-Search Machine Learning for Low Resource Multi-Objective Unmanned Underwater Vehicle Control (Student Abstract) AAAI 2024 PPTC Benchmark: Evaluating Large Language Models for PowerPoint Task Completion ACL 2024 PPTC-R benchmark: Towards Evaluating the Robustness of Large Language Models for PowerPoint Task Completion EMNLP 2024 Practice Makes Perfect: Planning to Learning Skill Parameter Policies RSS 2024 Predicting Future Actions of Reinforcement Learning Agents NeurIPS 2024 Prediction from compression for models with infinite memory, with applications to hidden Markov and renewal processes COLT 2024 PREGO: Online Mistake Detection in PRocedural EGOcentric Videos CVPR 2024 Pre-trained Text-to-Image Diffusion Models Are Versatile Representation Learners for Control NeurIPS 2024 Probing the Capacity of Language Model Agents to Operationalize Disparate Experiential Context Despite Distraction EMNLP 2024 Probing the Multi-turn Planning Capabilities of LLMs via 20 Question Games ACL 2024