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Learning Language Games through Interaction
Paper • 1606.02447 • Published -
Naturalizing a Programming Language via Interactive Learning
Paper • 1704.06956 • Published -
Reinforcement Learning on Web Interfaces Using Workflow-Guided Exploration
Paper • 1802.08802 • Published -
Mapping Natural Language Commands to Web Elements
Paper • 1808.09132 • Published
Collections
Discover the best community collections!
Collections including paper arxiv:2406.11896
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Scaling Cross-Embodied Learning: One Policy for Manipulation, Navigation, Locomotion and Aviation
Paper • 2408.11812 • Published • 6 -
WebArena: A Realistic Web Environment for Building Autonomous Agents
Paper • 2307.13854 • Published • 24 -
Agent Workflow Memory
Paper • 2409.07429 • Published • 29 -
Windows Agent Arena: Evaluating Multi-Modal OS Agents at Scale
Paper • 2409.08264 • Published • 44
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RLHF Workflow: From Reward Modeling to Online RLHF
Paper • 2405.07863 • Published • 67 -
Understanding and Diagnosing Deep Reinforcement Learning
Paper • 2406.16979 • Published • 9 -
Direct Nash Optimization: Teaching Language Models to Self-Improve with General Preferences
Paper • 2404.03715 • Published • 61 -
Iterative Nash Policy Optimization: Aligning LLMs with General Preferences via No-Regret Learning
Paper • 2407.00617 • Published • 7
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Iterative Reasoning Preference Optimization
Paper • 2404.19733 • Published • 48 -
Better & Faster Large Language Models via Multi-token Prediction
Paper • 2404.19737 • Published • 75 -
ORPO: Monolithic Preference Optimization without Reference Model
Paper • 2403.07691 • Published • 64 -
KAN: Kolmogorov-Arnold Networks
Paper • 2404.19756 • Published • 109
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More Agents Is All You Need
Paper • 2402.05120 • Published • 53 -
OS-Copilot: Towards Generalist Computer Agents with Self-Improvement
Paper • 2402.07456 • Published • 43 -
Generative Agents: Interactive Simulacra of Human Behavior
Paper • 2304.03442 • Published • 12 -
Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models
Paper • 2310.04406 • Published • 8
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How Far Are We from Intelligent Visual Deductive Reasoning?
Paper • 2403.04732 • Published • 20 -
MoAI: Mixture of All Intelligence for Large Language and Vision Models
Paper • 2403.07508 • Published • 75 -
DragAnything: Motion Control for Anything using Entity Representation
Paper • 2403.07420 • Published • 14 -
Learning and Leveraging World Models in Visual Representation Learning
Paper • 2403.00504 • Published • 32