WebShop

The 'WebShop' dataset is a benchmark used to evaluate the performance of AI agents in a shopping environment, focusing on their ability to interact with and navigate through various tasks related to online shopping.

Papers using WebShop (44)

SkillRL: Evolving Agents via Recursive Skill-Augmented Reinforcement Learning2026HarnessX: A Composable, Adaptive, and Evolvable Agent Harness Foundry2026SkillAdaptor: Self-Adapting Skills for LLM Agents from Trajectories2026Skill0.5: Joint Skill Internalization and Utilization for Out-of-Distribution Generalization in Agentic Reinforcement Learning2026TurnOPD: Making On-Policy Distillation Turn-Aware for Efficient Long-Horizon Agent Training2026Exploratory Memory-Augmented LLM Agent via Hybrid On- and Off-Policy Optimization2026SKILLC: Learning Autonomous Skill Internalization in LLM Agents via Contrastive Credit Assignment2026 · 2 citesWhat and When to Distill: Selective Hindsight Distillation for Multi-Turn Agents2026Beyond Policy Optimization: A Data Curation Flywheel for Sparse-Reward Long-Horizon Planning2025 · 3 citesRSPO: Reward-Swap Policy Optimization for Multi-Turn LLM Agents2026STAPO: Selective Trajectory-Aware Policy Optimization for LLM Agent Training2026Unified Context Evolution for LLM Agents2026SIRI: Self-Internalizing Reinforcement Learning with Intrinsic Skills for LLM Agent Training2026AdaMEM: Test-Time Adaptive Memory for Language Agents2026From Reward-Hack Activations to Agentic Risk States: Context-Calibrated Mechanistic Monitoring in LLM Agents2026Self-evolving LLM agents with in-distribution Optimization20263SPO: State-Score-Supervised Policy Optimization for LLM Agents2026On-Policy Distillation with Curriculum Turn-level Guidance for Multi-turn Agents2026EnvRL: Learn from Environment Dynamics in Agentic Reinforcement Learning2026Uncertainty Decomposition for Clarification Seeking in LLM Agents2026Semantic Consistency Policy Optimization for Reinforcement Learning of LLM Agents2026Joint Learning of Experiential Rules and Policies for Large Language Model Agents2026ATOD: Annealed Turn-Aware On-Policy Distillation for Multi-Turn Agentic Tasks2026Hera: Learning Long-Horizon Coordination for Device-Cloud Collaborative LLM Agents2026Proper Scoring Rules for Agentic Uncertainty Quantification2026Where LLM Agents Fail And How They Can Learn From Failures2025Progress- and Reliability-Oriented Group Policy Optimization for Agentic Reinforcement Learning2026Retrospective Progress-Aware Self-Refinement for LLM Agent Training2026SKILL0: In-Context Agentic Reinforcement Learning for Skill Internalization2026ShadowMerge: A Novel Poisoning Attack on Graph-Based Agent Memory via Relation-Channel Conflicts2026Rewarding Beliefs, Not Actions: Consistency-Guided Credit Assignment for Long-Horizon Agents2026When Denser Credit Is Not Enough: Evidence-Calibrated Policy Optimization for Long-Horizon LLM Agent Training2026UCOB: Learning to Utilize and Evolve Agentic Skills via Credit-Aware On-Policy Bidirectional Self-Distillation2026Grasp: Graph-structured Skill Compositions For LLM Agents2026OTora: A Unified Red Teaming Framework for Reasoning-Level Denial-of-Service in LLM Agents2026HiMAC: Hierarchical Macro-Micro Learning for Long-Horizon LLM Agents2026Dynamic Dual-Granularity Skill Bank for Agentic RL2026Skillnet: Create, Evaluate, And Connect AI Skills2026TSR: Trajectory-Search Rollouts for Multi-Turn RL of LLM Agents2026Meta-RL Induces Exploration in Language Agents2025Graph-Enhanced Policy Optimization in LLM Agent Training2025Structured Agent Distillation for Large Language Model2025Better Than Your Teacher: LLM Agents That Learn From Privileged AI Feedback2024 · 1 citesADaPT: As-Needed Decomposition and Planning with Language Models2023 · 2 cites