Twice Sequential Monte Carlo for Tree Search

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Oren, Yaniv, de Vries, Joery A., van der Vaart, Pascal R., Spaan, Matthijs T. J., Böhmer, Wendelin
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Epistemic Monte Carlo Tree Search
by: Oren, Yaniv, et al.
Published: (2022)

PMCTS: Particle Monte Carlo Tree Search for Principled Parallelized Inference Time Scaling
by: Oren, Yaniv, et al.
Published: (2026)

Value Improved Actor Critic Algorithms
by: Oren, Yaniv, et al.
Published: (2024)

VariBASed: Variational Bayes-Adaptive Sequential Monte-Carlo Planning for Deep Reinforcement Learning
by: de Vries, Joery A., et al.
Published: (2026)

Contextual Similarity Distillation: Ensemble Uncertainties with a Single Model
by: Zanger, Moritz A., et al.
Published: (2025)

Universal Value-Function Uncertainties
by: Zanger, Moritz A., et al.
Published: (2025)

On the Equivalence of Random Network Distillation, Deep Ensembles, and Bayesian Inference
by: Zanger, Moritz A., et al.
Published: (2026)

Diverse Projection Ensembles for Distributional Reinforcement Learning
by: Zanger, Moritz A., et al.
Published: (2023)

Exploration Implies Data Augmentation: Reachability and Generalisation in Contextual MDPs
by: Weltevrede, Max, et al.
Published: (2024)

Explore-Go: Leveraging Exploration for Generalisation in Deep Reinforcement Learning
by: Weltevrede, Max, et al.
Published: (2024)

Priors Matter: Addressing Misspecification in Bayesian Deep Q-Learning
by: van der Vaart, Pascal R., et al.
Published: (2025)

How Ensembles of Distilled Policies Improve Generalisation in Reinforcement Learning
by: Weltevrede, Max, et al.
Published: (2025)

Trust-Region Twisted Policy Improvement
by: de Vries, Joery A., et al.
Published: (2025)

EfficientTDMPC: Improved MPC Objectives for Sample-Efficient Continuous Control
by: Evers, Thomas, et al.
Published: (2026)

TransZero: Parallel Tree Expansion in MuZero using Transformer Networks
by: Malmsten, Emil, et al.
Published: (2025)

RecBayes: Recurrent Bayesian Ad Hoc Teamwork in Large Partially Observable Domains
by: Ribeiro, João G., et al.
Published: (2025)

Improving Robustness of AlphaZero Algorithms to Test-Time Environment Changes
by: Tamassia, Isidoro, et al.
Published: (2025)

AlphaExploitem: Going Beyond the Nash Equilibrium in Poker by Learning to Exploit Suboptimal Play
by: Murgoci, Vlad, et al.
Published: (2026)

Anytime Sequential Halving in Monte-Carlo Tree Search
by: Sagers, Dominic, et al.
Published: (2024)

Sparse Masked Attention Policies for Reliable Generalization
by: Horsch, Caroline, et al.
Published: (2026)

Bayesian Meta-Reinforcement Learning with Laplace Variational Recurrent Networks
by: de Vries, Joery A., et al.
Published: (2025)

Positive Experience Reflection for Agents in Interactive Text Environments
by: Lippmann, Philip, et al.
Published: (2024)

What model does MuZero learn?
by: He, Jinke, et al.
Published: (2023)

Generalisation to unseen topologies: Towards control of biological neural network activity
by: Engwegen, Laurens, et al.
Published: (2024)

Monte Carlo Tree Search with Boltzmann Exploration
by: Painter, Michael, et al.
Published: (2024)

Doubly Robust Monte Carlo Tree Search
by: Liu, Manqing, et al.
Published: (2025)

SPO: Sequential Monte Carlo Policy Optimisation
by: Macfarlane, Matthew V, et al.
Published: (2024)

Monte Carlo Tree Search in the Presence of Transition Uncertainty
by: Kohankhaki, Farnaz, et al.
Published: (2023)

Improving GFlowNets with Monte Carlo Tree Search
by: Morozov, Nikita, et al.
Published: (2024)

Monte Carlo Permutation Search
by: Cazenave, Tristan
Published: (2025)

Sequential Monte Carlo for Policy Optimization in Continuous POMDPs
by: Abdulsamad, Hany, et al.
Published: (2025)

C-MCTS: Safe Planning with Monte Carlo Tree Search
by: Parthasarathy, Dinesh, et al.
Published: (2023)

Reinforcement Learning by Guided Safe Exploration
by: Yang, Qisong, et al.
Published: (2023)

Ensembling Language Models with Sequential Monte Carlo
by: Chan, Robin Shing Moon, et al.
Published: (2026)

Variance-Aware Prior-Based Tree Policies for Monte Carlo Tree Search
by: Weichart, Maximilian
Published: (2025)

Continuous Monte Carlo Graph Search
by: Kujanpää, Kalle, et al.
Published: (2022)

Monte Carlo Tree Search Boosts Reasoning via Iterative Preference Learning
by: Xie, Yuxi, et al.
Published: (2024)

Optimizing Tensor Computation Graphs with Equality Saturation and Monte Carlo Tree Search
by: Hartmann, Jakob, et al.
Published: (2024)

Monte Carlo Tree Search based Space Transfer for Black-box Optimization
by: Wang, Shukuan, et al.
Published: (2024)

Object-Centric World Models Meet Monte Carlo Tree Search
by: Vakhitov, Rodion, et al.
Published: (2026)