NeurIPS 2024PastAgents
NeurIPS 2024 Workshop on Open-World Agents
NeurIPS 2024 Workshop Open-World Agents
- Submission deadline
- Sep 21, 2024, 00:01 UTCimported from OpenReview — check the website for extensions
- Submission portal
- OpenReview
- Notes
- Topics were auto-suggested and may be imprecise — edits welcome.
Accepted papers (97)
Fetched from OpenReview (v2) on 2026-06-10.
3D-GRAND: A Million-Scale Dataset for 3D-LLMs with Better Grounding and Less Hallucination
A Large Recurrent Action Model: xLSTM enables Fast Inference for Robotics Tasks
A Simplified A Priori Theory Of Meaning, –Nature based AI ‘first principles’–
Advancing Agentic Systems: Dynamic Task Decomposition, Tool Integration and Evaluation using Novel Metrics and Dataset
Agent S: An Open Agentic Framework that Uses Computers Like a Human
Agent-E: From Autonomous Web Navigation to Foundational Design Principles in Agentic Systems
Agentic Anomaly Detection for Shipping
Agents Thinking Fast and Slow: A Talker-Reasoner Architecture
AgentStudio: A Toolkit for Building General Virtual Agents
An Efficient Open World Benchmark for Multi-Agent Reinforcement Learning
Are Expressive Models Truly Necessary for Offline RL?
Articulated Animal AI: An Environment for Animal-like Cognition in a Limbed Agent
Automated Design of Agentic Systems
Automating Thought of Search: A Journey Towards Soundness and Completeness
Can VLMs Play Action Role-Playing Games? Take Black Myth Wukong as a Study Case
CARD: Cross-modal Agent Framework for Generative and Editable Residential Design
Chain-of-Imagination for Reliable Instruction Following in Decision Making
Cognitive Planning for Object Goal Navigation using Generative AI Models
Collective Wisdom in Language Models: Harnessing LLM-Swarm for Agile Project Management
CRAB: Cross-platfrom agent benchmark for multi-modal embodied language model agents
Cradle: Empowering Foundation Agents towards General Computer Control
DARD: A Multi-Agent Approach for Task-Oriented Dialog Systems
DepsRAG: Towards Agentic Reasoning and Planning for Software Dependency Management
Dissecting Adversarial Robustness of Multimodal LM Agents
Do LLM Personas Dream of Bull Markets? Comparing Human and AI Investment Strategies Through the Lens of the Five-Factor Model
Efficient Reinforcement Learning via Large Language Model-based Search
ENHANCING DATA EFFICIENCY IN REINFORCEMENT LEARNING: A NOVEL IMAGINATION MECHANISM BASED ON MESH INFORMATION PROPAGATION
EvoAgent: Towards Automatic Multi-Agent Generation via Evolutionary Algorithms
FEABench: Evaluating Language Models on Real World Physics Reasoning Ability
Fine-Tuning Web Agents: It Works, But It's Trickier Than You Think
First-Explore, then Exploit: Meta-Learning to Solve Hard Exploration-Exploitation Trade-Offs
FlickerFusion: Intra-trajectory Domain Generalizing Multi-Agent RL
FPGA-Gym: An FPGA-Accelerated Reinforcement Learning Environment Simulation Framework
From Context to Action: Analysis of the Impact of State Representation and Context on the Generalization of Multi-Turn Web Navigation Agents
Generalized Open-World Semi-Supervised Object Detection
GTA: A Benchmark for General Tool Agents
HSCL-RL: Mitigating Hallucinations in Multimodal Large Language Models
Hypothetical Minds: Scaffolding Theory of Mind for Multi-Agent Tasks with Large Language Models
IDEA: Enhancing the Rule Learning Ability of Language Agent through Induction, Deduction, and Abduction
IDS-Agent: An LLM Agent for Explainable Intrusion Detection in IoT Networks
Improving Decision-Making in Open-World Agents with Conformal Prediction and Monty Hall
In-Context Imitation Learning via Next-Token Prediction
Infer Human’s Intentions Before Following Natural Language Instructions
Infogent: An Agent-based Framework for Web Information Aggregation
Integrating Visual and Linguistic Instructions for Context-Aware Navigation Agents
Interactive Navigation of Quadruped Robots in Challenging Environments using Large Language Models
Inverse Attention Agent in Multi-Agent System
Language Models and Symbolic Planners can Infer Action Semantics through Environment Feedback
Learning Region-Word Alignment with Attentive Masking for Open-Vocabulary Object Detection
Learning to Bridge the Gap: Efficient Novelty Recovery with Planning and Reinforcement Learning
Lightweight Neural App Control
LLM2Swarm: Robot Swarms that Responsively Reason, Plan, and Collaborate through LLMs
LLM4Drive: A Survey of Large Language Models for Autonomous Driving
LLMs Still Can't Plan; Can LRMs? A Preliminary Evaluation of OpenAI's o1 on PlanBench
MASAI: Modular Architecture for Software-engineering AI Agents
MMCTAgent: Multi-modal Critical Thinking Agent Framework for Complex Visual Reasoning
MobileFlow: A Multimodal LLM For Mobile GUI Agent
Multimodal Auto Validation For Self-Refinement in Web Agents
OASIS: Open Agents Social Interaction Simulations on One Million Agents
One-shot World Models Using a Transformer Trained on a Synthetic Prior
Planning as Inpainting: A Generative Framework for Realistic Embodied Path Planning
Policy optimization to align the validity, coherence and efficiency of reasoning agents in multi-turn dialogues
Put Your Money Where Your Mouth Is: Evaluating Strategic Planning and Execution of LLM Agents in an Auction Arena
Quality-Diversity Self-Play: Open-Ended Strategy Innovation via Foundation Models
RAP: Retrieval-Augmented Planning with Contextual Memory for Multimodal LLM Agents
RAR-Agent: Retrieval Augmented Reflection Learning from Scratch for Reasoning
RAT: Retrieval Augmented Thoughts Elicit Context-Aware Reasoning and Verification in Long-Horizon Generation
RefactorBench: Evaluating Stateful Reasoning In Language Agents Through Code
REGENT: A Retrieval-Augmented Generalist Agent That Can Act In-Context in New Environments
RH20T-P: A Primitive-Level Robotic Manipulation Dataset Towards Composable Generalization Agents in Real-world Scenarios
Richelieu: Self-Evolving LLM-Based Agents for AI Diplomacy
Robo-MUTUAL: Robotic Multimodal Task Specification via Unimodal Learning
Robust Offline Learning via Adversarial World Models
ROCKET-1: Master Open-World Interaction with Visual-Temporal Context Prompting
Scaling Population-Based Reinforcement Learning with GPU Accelerated Simulation
SEAL: Suite for Evaluating API-use of LLMs
SELFGOAL: Your Language Agents Already Know How to Achieve High-level Goals
Semantically Safe Robot Manipulation: From Semantic Scene Understanding to Motion Safeguards
ShowUI: One Vision-Language-Action Model for Generalist GUI Agent
Simulating User Agents for Embodied Conversational AI
Sliding Puzzles Gym: A Scalable Benchmark for State Representation in Visual Reinforcement Learning
SPA-BENCH: A COMPREHENSIVE BENCHMARK FOR SMARTPHONE AGENT EVALUATION
StateFlow: Enhancing LLM Task-Solving through State-Driven Workflows
The Impact of Element Ordering on LM Agent Performance
Thermal and Energy Management with Fan Control Through Offline Meta-Reinforcement Learning
Towards Automated Patent Workflows: AI-Orchestrated Multi-Agent Framework for Intellectual Property Management and Analysis
Towards Autonomous Agents: Adaptive-planning, Reasoning, and Acting in Language Models
Towards Humanoid: Value-Driven Agent Modeling Based on Large Language Models
Towards Principled Representation Learning from Videos for Reinforcement Learning
Towards Robust Estimation of Human Intention Hierarchy in Robot Teleoperation
Variational Inequality Perspective and Optimizers for Multi-Agent Reinforcement Learning
VideoWebArena: Evaluating Long Context Multimodal Agents with Video Understanding Web Tasks
What Do You Mean by "Open World"?
Windows Agent Arena: Evaluating Multi-Modal OS Agents at Scale
Words as Beacons: Guiding RL Agents with High-Level Language Prompts
xTED: Cross-Domain Adaptation via Diffusion-Based Trajectory Editing
Zero-shot Whole-Body Humanoid Control via Behavioral Foundation Models