Planning
Research papers, repositories, and articles about planning
Showing 3 of 3 items
Towards Reliable and Robust LLM Planning: Symbolic Feedback-Driven Iterative Self-Refinement Framework
Wraps an LLM planner with a symbolic checker that spots broken plans and feeds back fixes in plain language. Adds a goal recognizer to catch impossible targets. If your agents keep hallucinating steps, this paper gives a concrete control loop to bolt on. ([arxiv.org](https://arxiv.org/list/cs.AI/new))
AstroReason-Bench: Evaluating Unified Agentic Planning across Heterogeneous Space Planning Problems
AstroReason-Bench tests agents on realistic satellite scheduling and space-mission planning rather than toy puzzles. Current agentic LLM systems lag far behind hand-built solvers, giving a sharp reality check for "generalist" planning claims.
WebOperator: Action-Aware Tree Search for Autonomous Agents in Web Environment
Proposes WebOperator, a web agent framework that uses action-aware tree search to plan sequences of browser actions rather than issuing greedy commands. By modeling the future impact of clicks, form fills, and navigations, the agent can backtrack from bad branches and robustly complete multi-step web tasks. It’s part of the growing trend from ‘prompt a browser wrapper’ toward genuinely search-based web agents.