WebShop

The 'WebShop' dataset/benchmark contains a simulated online shopping environment used to evaluate reinforcement learning algorithms in long-horizon agentic tasks.

Papers using WebShop (39)

HarnessX: A Composable, Adaptive, and Evolvable Agent Harness Foundry2026SkillRL: Evolving Agents via Recursive Skill-Augmented Reinforcement Learning2026SkillAdaptor: Self-Adapting Skills for LLM Agents from Trajectories2026Skill0.5: Joint Skill Internalization and Utilization for Out-of-Distribution Generalization in Agentic Reinforcement Learning2026Exploratory Memory-Augmented LLM Agent via Hybrid On- and Off-Policy Optimization2026What and When to Distill: Selective Hindsight Distillation for Multi-Turn Agents2026Beyond Policy Optimization: A Data Curation Flywheel for Sparse-Reward Long-Horizon Planning2025 · 3 citesRetrieval-augmented Hierarchical In-context Reinforcement Learning And Hindsight Modular Reflections For Task Planning With Llms2024 · 3 citesCross-Environment Neural Reranking for Sample-Efficient Action Selection in Text-Based Agents2026Unified 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 Agents2026HERO: Hindsight-Enhanced Reflection from Environment Observations for Agentic Self-Distillation2026On-Policy Distillation with Curriculum Turn-level Guidance for Multi-turn Agents2026Hera: Learning Long-Horizon Coordination for Device-Cloud Collaborative LLM Agents2026Proper Scoring Rules for Agentic Uncertainty Quantification2026SKILLC: Learning Autonomous Skill Internalization in LLM Agents via Contrastive Credit Assignment2026Where LLM Agents Fail And How They Can Learn From Failures2025Retrospective 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 Training2026Skillnet: Create, Evaluate, And Connect AI Skills2026Grasp: Graph-structured Skill Compositions For LLM Agents2026EnvRL: Learn from Environment Dynamics in Agentic Reinforcement Learning2026OTora: 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 RL2026TSR: Trajectory-Search Rollouts for Multi-Turn RL of LLM Agents2026Meta-RL Induces Exploration in Language Agents2025Graph-Enhanced Policy Optimization in LLM Agent Training2025Enhancing Decision-Making of Large Language Models via Actor-Critic2025Structured 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