2 papers
cs.LG2026
In-Context Planning with Latent Temporal Abstractions
Baiting Luo, Yunuo Zhang, Nathaniel S. Keplinger +3
Planning-based reinforcement learning for continuous control is bottlenecked by two practical issues: planning at primitive time scales leads to prohibitive branching and long hori…
cs.AI2025
Combining LLMs with Logic-Based Framework to Explain MCTS
Ziyan An, Xia Wang, Hendrik Baier +6
In response to the lack of trust in Artificial Intelligence (AI) for sequential planning, we design a Computational Tree Logic-guided large language model (LLM)-based natural langu…