Image de couverture de livre

Breiman meets Bellman: Non-Greedy Decision Trees with MDPs

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Kohler, Hector, Akrour, Riad, Preux, Philippe
Format:	Preprint
Publié:	2023
Sujets:	Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Limits of Actor-Critic Algorithms for Decision Tree Policies Learning in IBMDPs
par: Kohler, Hector, et autres
Publié: (2023)

Interpretable and Editable Programmatic Tree Policies for Reinforcement Learning
par: Kohler, Hector, et autres
Publié: (2024)

Evaluating Interpretable Reinforcement Learning by Distilling Policies into Programs
par: Kohler, Hector, et autres
Publié: (2025)

When (and How) to Trust the Expert: Diagnosing Query-Time Expert-Guided Reinforcement Learning
par: Berthelot, Yann, et autres
Publié: (2026)

PB$^2$: Preference Space Exploration via Population-Based Methods in Preference-Based Reinforcement Learning
par: Driss, Brahim, et autres
Publié: (2025)

Towards a Research Community in Interpretable Reinforcement Learning: the InterpPol Workshop
par: Kohler, Hector, et autres
Publié: (2024)

StaQ it! Growing neural networks for Policy Mirror Descent
par: Shilova, Alena, et autres
Publié: (2025)

Augmented Bayesian Policy Search
par: Kallel, Mahdi, et autres
Publié: (2024)

IDEQ: an improved diffusion model for the TSP
par: Basson, Mickael, et autres
Publié: (2024)

End-to-End Efficient RL for Linear Bellman Complete MDPs with Deterministic Transitions
par: Mhammedi, Zakaria, et autres
Publié: (2026)

Bandits attack function optimization
par: Preux, Philippe, et autres
Publié: (2026)

AdaStop: adaptive statistical testing for sound comparisons of Deep RL agents
par: Mathieu, Timothée, et autres
Publié: (2023)

Prospect-Theory Behavior from Bellman Optimality in MDPs with Catastrophic States
par: Chen, Yujiao
Publié: (2026)

Reward Redistribution for CVaR MDPs using a Bellman Operator on L-infinity
par: Muni, Aneri, et autres
Publié: (2026)

RFX-Fuse: Breiman and Cutler's Unified ML Engine + Native Explainable Similarity
par: Kuchar, Chris
Publié: (2026)

Optimal or Greedy Decision Trees? Revisiting their Objectives, Tuning, and Performance
par: van der Linden, Jacobus G. M., et autres
Publié: (2024)

Leo Breiman, the Rashomon Effect, and the Occam Dilemma
par: Rudin, Cynthia
Publié: (2025)

Robust Multi-Agent Path Finding under Observation Attacks: A Principled Adversarial-Plus-Smoothing Training Recipe
par: Ahmed, Riad
Publié: (2026)

An Improved Model-Free Decision-Estimation Coefficient with Applications in Adversarial MDPs
par: Liu, Haolin, et autres
Publié: (2025)

Optimistic Policy Optimization is Provably Efficient in Non-stationary MDPs
par: Zhong, Han, et autres
Publié: (2021)

Revisiting Weighted Strategy for Non-stationary Parametric Bandits and MDPs
par: Wang, Jing, et autres
Publié: (2026)

Solving Non-Rectangular Reward-Robust MDPs via Frequency Regularization
par: Gadot, Uri, et autres
Publié: (2023)

Provably Efficient Algorithms for S- and Non-Rectangular Robust MDPs with General Parameterization
par: Satheesh, Anirudh, et autres
Publié: (2026)

Bellman Diffusion Models
par: Schramm, Liam, et autres
Publié: (2024)

Contraction-Aligned Analysis of Soft Bellman Residual Minimization with Weighted Lp-Norm for Markov Decision Problem
par: Yang, Hyukjun, et autres
Publié: (2026)

Stability and Generalization for Bellman Residuals
par: Kang, Enoch H., et autres
Publié: (2025)

Bellman Optimality of Average-Reward Robust Markov Decision Processes with a Constant Gain
par: Wang, Shengbo, et autres
Publié: (2025)

Non-Adversarial Imitation Learning Provably Free of Compounding Errors: The Role of Bellman Constraints
par: Xu, Tian, et autres
Publié: (2026)

Predicting Multi-Drug Resistance in Bacterial Isolates Through Performance Comparison and LIME-based Interpretation of Classification Models
par: Wishal, Santanam, et autres
Publié: (2026)

Bellman Error Centering
par: Chen, Xingguo, et autres
Publié: (2025)

Beyond Greedy Exits: Improved Early Exit Decisions for Risk Control and Reliability
par: Bajpai, Divya Jyoti, et autres
Publié: (2025)

LLMs are Greedy Agents: Effects of RL Fine-tuning on Decision-Making Abilities
par: Schmied, Thomas, et autres
Publié: (2025)

Time-Constrained Robust MDPs
par: Zouitine, Adil, et autres
Publié: (2024)

Beyond the Bellman Recursion: A Pontryagin-Guided Framework for Non-Exponential Discounting
par: Ko, Hojin, et autres
Publié: (2026)

Mixed-Curvature Decision Trees and Random Forests
par: Chlenski, Philippe, et autres
Publié: (2024)

Reinforcement Learning for Infinite-Horizon Average-Reward Linear MDPs via Approximation by Discounted-Reward MDPs
par: Hong, Kihyuk, et autres
Publié: (2024)

Parameterized Projected Bellman Operator
par: Vincent, Théo, et autres
Publié: (2023)

Accelerating Matrix Diagonalization through Decision Transformers with Epsilon-Greedy Optimization
par: Bhatta, Kshitij, et autres
Publié: (2024)

Distributional Bellman Operators over Mean Embeddings
par: Wenliang, Li Kevin, et autres
Publié: (2023)

ShiQ: Bringing back Bellman to LLMs
par: Clavier, Pierre, et autres
Publié: (2025)