Divide-and-Conquer Monte Carlo Tree Search For Goal-Directed Planning

23 April 2020

Papers citing "Divide-and-Conquer Monte Carlo Tree Search For Goal-Directed Planning"

8 / 8 papers shown

Title
DISC: Dynamic Decomposition Improves LLM Inference Scaling Jonathan Light Wei Cheng Wu Yue Masafumi Oyamada Mengdi Wang Santiago Paternain Haifeng Chen ReLM LRM 69 2 0 23 Feb 2025
Advancing Autonomous VLM Agents via Variational Subgoal-Conditioned Reinforcement Learning Qingyuan Wu Jianheng Liu Haifeng Zhang Jun Wang Kun Shao OffRL 107 1 0 11 Feb 2025
Generation of Geodesics with Actor-Critic Reinforcement Learning to Predict Midpoints Kazumi Kasaura 35 0 0 02 Jul 2024
Hybrid Search for Efficient Planning with Completeness Guarantees Kalle Kujanpää Joni Pajarinen Alexander Ilin 34 3 0 19 Oct 2023
Improving Reliable Navigation under Uncertainty via Predictions Informed by Non-Local Information Raihan Islam Arnob Gregory J. Stein 33 2 0 26 Jul 2023
Goal-Conditioned Supervised Learning with Sub-Goal Prediction Tom Jurgenson Aviv Tamar 31 1 0 17 May 2023
Fast and Precise: Adjusting Planning Horizon with Adaptive Subgoal Search Michał Zawalski Michał Tyrolski K. Czechowski Tomasz Odrzygó'zd'z Damian Stachura Piotr Pikekos Yuhuai Wu Lukasz Kuciñski Piotr Milo's LRM 21 9 0 01 Jun 2022
Goal-Conditioned Reinforcement Learning with Imagined Subgoals Elliot Chane-Sane Cordelia Schmid Ivan Laptev 30 141 0 01 Jul 2021