Cover Image

A Unified Framework for Zero-Shot Reinforcement Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Di Ventura, Jacopo, Kleuker, Jan Felix, Plaat, Aske, Moerland, Thomas
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

On the Effect of Regularization in Policy Mirror Descent
by: Kleuker, Jan Felix, et al.
Published: (2025)

Chargax: A JAX Accelerated EV Charging Simulator
by: Ponse, Koen, et al.
Published: (2025)

Reinforcement Learning for Sustainable Energy: A Survey
by: Ponse, Koen, et al.
Published: (2024)

Towards a Practical Understanding of Lagrangian Methods in Safe Reinforcement Learning
by: Spoor, Lindsay, et al.
Published: (2025)

Explicitly Disentangled Representations in Object-Centric Learning
by: Majellaro, Riccardo, et al.
Published: (2024)

Slot Structured World Models
by: Collu, Jonathan, et al.
Published: (2024)

EconoJax: A Fast & Scalable Economic Simulation in Jax
by: Ponse, Koen, et al.
Published: (2024)

Solving Deep Reinforcement Learning Tasks with Evolution Strategies and Linear Policy Networks
by: Wong, Annie, et al.
Published: (2024)

Mirror Mode in Fire Emblem: Beating Players at their own Game with Imitation and Reinforcement Learning
by: Smid, Yanna Elizabeth, et al.
Published: (2025)

EduGym: An Environment and Notebook Suite for Reinforcement Learning Education
by: Moerland, Thomas M., et al.
Published: (2023)

Reset-free Reinforcement Learning with World Models
by: Yang, Zhao, et al.
Published: (2024)

CORE: Towards Scalable and Efficient Causal Discovery with Reinforcement Learning
by: Sauter, Andreas W. M., et al.
Published: (2024)

ACTIVA: Amortized Causal Effect Estimation via Transformer-based Variational Autoencoder
by: Sauter, Andreas, et al.
Published: (2025)

CausalPlayground: Addressing Data-Generation Requirements in Cutting-Edge Causality Research
by: Sauter, Andreas W M, et al.
Published: (2024)

Research Re: search & Re-search
by: Plaat, Aske
Published: (2024)

On Zero-Shot Reinforcement Learning
by: Jeen, Scott
Published: (2025)

Multi-Step Reasoning with Large Language Models, a Survey
by: Plaat, Aske, et al.
Published: (2024)

A KL-regularization Framework for Learning to Plan with Adaptive Priors
by: Serra-Gomez, Álvaro, et al.
Published: (2025)

Tackling the Zero-Shot Reinforcement Learning Loss Directly
by: Ollivier, Yann
Published: (2025)

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

Pessimism Principle Can Be Effective: Towards a Framework for Zero-Shot Transfer Reinforcement Learning
by: Zhang, Chi, et al.
Published: (2025)

Towards Robust Zero-Shot Reinforcement Learning
by: Zheng, Kexin, et al.
Published: (2025)

Provable Zero-Shot Generalization in Offline Reinforcement Learning
by: Wang, Zhiyong, et al.
Published: (2025)

Zero-Shot Reinforcement Learning Under Partial Observability
by: Jeen, Scott, et al.
Published: (2025)

Zero-Shot Reinforcement Learning via Function Encoders
by: Ingebrand, Tyler, et al.
Published: (2024)

Upside Down Reinforcement Learning with Policy Generators
by: Di Ventura, Jacopo, et al.
Published: (2025)

TD-JEPA: Latent-predictive Representations for Zero-Shot Reinforcement Learning
by: Bagatella, Marco, et al.
Published: (2025)

Equilibrium Policy Generalization: A Reinforcement Learning Framework for Cross-Graph Zero-Shot Generalization in Pursuit-Evasion Games
by: Lu, Runyu, et al.
Published: (2025)

Efficient Reinforcement Learning for Zero-Shot Coordination in Evolving Games
by: Hui, Bingyu, et al.
Published: (2025)

Zero-Shot Reinforcement Learning from Low Quality Data
by: Jeen, Scott, et al.
Published: (2023)

A Zero-Shot Reinforcement Learning Strategy for Autonomous Guidewire Navigation
by: Scarponi, Valentina, et al.
Published: (2024)

Towards General Negotiation Strategies with End-to-End Reinforcement Learning
by: Renting, Bram M., et al.
Published: (2024)

Beyond Data Scarcity: A Frequency-Driven Framework for Zero-Shot Forecasting
by: Nochumsohn, Liran, et al.
Published: (2024)

Few-Shot Inspired Generative Zero-Shot Learning
by: Shohag, Md Shakil Ahamed, et al.
Published: (2025)

Unsupervised Zero-Shot Reinforcement Learning via Functional Reward Encodings
by: Frans, Kevin, et al.
Published: (2024)

Vision-Language Models are Zero-Shot Reward Models for Reinforcement Learning
by: Rocamonde, Juan, et al.
Published: (2023)

Zero-Shot Policy Transfer in Reinforcement Learning using Buckingham's Pi Theorem
by: Pascoa, Francisco, et al.
Published: (2025)

ZeroSim: Zero-Shot Analog Circuit Evaluation with Unified Transformer Embeddings
by: Yang, Xiaomeng, et al.
Published: (2025)

Zero-Shot Offline Imitation Learning via Optimal Transport
by: Rupf, Thomas, et al.
Published: (2024)

FedBEns: One-Shot Federated Learning based on Bayesian Ensemble
by: Talpini, Jacopo, et al.
Published: (2025)