TravelPlanner

TravelPlanner Dataset TravelPlanner is a benchmark crafted for evaluating language agents in tool-use and complex planning within multiple constraints. (See our paper for more details.) Introduction In TravelPlanner, for a given query, language agents are expected to formulate a comprehensive plan that includes transpo

Papers using TravelPlanner (11)

Demystifying Reinforcement Learning for Long-Horizon Tool-Using Agents: A Comprehensive Recipe2026CARL: Constraint-Aware Reinforcement Learning for Planning with LLMs2026Distributional Energy-Based Models for Uncertainty-Aware Structured LLM Reasoning2026Blueprint First, Model Second: A Framework for Deterministic LLM Workflow2025MAS-on-the-Fly: Dynamic Adaptation of LLM-based Multi-Agent Systems at Test Time2026Learning Hierarchical Procedural Memory for LLM Agents through Bayesian Selection and Contrastive Refinement2025Planner-R1: Reward Shaping Enables Efficient Agentic RL with Smaller LLMs2025SAMULE: Self-Learning Agents Enhanced by Multi-level Reflection2025Memp: Exploring Agent Procedural Memory2025GenEnv: Difficulty-Aligned Co-Evolution Between LLM Agents and Environment Simulators2025MIRROR: Multi-agent Intra- and Inter-Reflection for Optimized Reasoning in Tool Learning2025