Cover Image

MaestroMotif: Skill Design from Artificial Intelligence Feedback

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Klissarov, Martin, Henaff, Mikael, Raileanu, Roberta, Sodhani, Shagun, Vincent, Pascal, Zhang, Amy, Bacon, Pierre-Luc, Precup, Doina, Machado, Marlos C., D'Oro, Pierluca
Format:	Preprint
Published:	2024
Subjects:	Artificial Intelligence Computation and Language Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Mol-MoE: Training Preference-Guided Routers for Molecule Generation
by: Calanzone, Diego, et al.
Published: (2025)

Discovering Temporal Structure: An Overview of Hierarchical Reinforcement Learning
by: Klissarov, Martin, et al.
Published: (2025)

Hierarchical Behaviour Spaces
by: Matthews, Michael Tryfan, et al.
Published: (2026)

Do Transformer World Models Give Better Policy Gradients?
by: Ma, Michel, et al.
Published: (2024)

Policy Optimization in a Noisy Neighborhood: On Return Landscapes in Continuous Control
by: Rahn, Nate, et al.
Published: (2023)

Maxwell's Demon at Work: Efficient Pruning by Leveraging Saturation of Neurons
by: Dufort-Labbé, Simon, et al.
Published: (2024)

Controlling Large Language Model Agents with Entropic Activation Steering
by: Rahn, Nate, et al.
Published: (2024)

Towards General-Purpose Model-Free Reinforcement Learning
by: Fujimoto, Scott, et al.
Published: (2025)

ADEPTS: A Capability Framework for Human-Centered Agent Design
by: D'Oro, Pierluca, et al.
Published: (2025)

The Curse of Diversity in Ensemble-Based Exploration
by: Lin, Zhixuan, et al.
Published: (2024)

Understanding Behavioral Metric Learning: A Large-Scale Study on Distracting Reinforcement Learning Environments
by: Luo, Ziyan, et al.
Published: (2025)

Code as Reward: Empowering Reinforcement Learning with VLMs
by: Venuto, David, et al.
Published: (2024)

When should we prefer Decision Transformers for Offline Reinforcement Learning?
by: Bhargava, Prajjwal, et al.
Published: (2023)

Rotation-Preserving Supervised Fine-Tuning
by: Jin, Hangzhan, et al.
Published: (2026)

Diversity-Enriched Option-Critic
by: Kamat, Anand, et al.
Published: (2020)

Functional Acceleration for Policy Mirror Descent
by: Chelu, Veronica, et al.
Published: (2024)

A Look at Value-Based Decision-Time vs. Background Planning Methods Across Different Settings
by: Alver, Safa, et al.
Published: (2022)

Online Intrinsic Rewards for Decision Making Agents from Large Language Model Feedback
by: Zheng, Qinqing, et al.
Published: (2024)

Effect of Document Packing on the Latent Multi-Hop Reasoning Capabilities of Large Language Models
by: Prato, Gabriele, et al.
Published: (2025)

Controlling Multimodal LLMs via Reward-guided Decoding
by: Mañas, Oscar, et al.
Published: (2025)

Do Large Language Models Know How Much They Know?
by: Prato, Gabriele, et al.
Published: (2025)

EpiK-Eval: Evaluation for Language Models as Epistemic Models
by: Prato, Gabriele, et al.
Published: (2023)

Balancing Plasticity and Stability with Fast and Slow Successor Features
by: Chua, Raymond, et al.
Published: (2026)

On the Privacy of Selection Mechanisms with Gaussian Noise
by: Lebensold, Jonathan, et al.
Published: (2024)

Harnessing small projectors and multiple views for efficient vision pretraining
by: Agrawal, Kumar Krishna, et al.
Published: (2023)

Conditions on Preference Relations that Guarantee the Existence of Optimal Policies
by: Carr, Jonathan Colaço, et al.
Published: (2023)

Sparse-Reg: Improving Sample Complexity in Offline Reinforcement Learning using Sparsity
by: Arnob, Samin Yeasar, et al.
Published: (2025)

Adaptive Exploration for Data-Efficient General Value Function Evaluations
by: Jain, Arushi, et al.
Published: (2024)

Fluid-Agent Reinforcement Learning
by: Sharma, Shishir, et al.
Published: (2026)

Partial Models for Building Adaptive Model-Based Reinforcement Learning Agents
by: Alver, Safa, et al.
Published: (2024)

Should I Have Expressed a Different Intent? Counterfactual Generation for LLM-Based Autonomous Control
by: Farzaneh, Amirmohammad, et al.
Published: (2026)

On the Limits of Multi-modal Meta-Learning with Auxiliary Task Modulation Using Conditional Batch Normalization
by: Armengol-Estapé, Jordi, et al.
Published: (2024)

Parseval Regularization for Continual Reinforcement Learning
by: Chung, Wesley, et al.
Published: (2024)

Relative Trajectory Balance is equivalent to Trust-PCL
by: Deleu, Tristan, et al.
Published: (2025)

LLM-First Search: Self-Guided Exploration of the Solution Space
by: Herr, Nathan, et al.
Published: (2025)

Uncovering a Universal Abstract Algorithm for Modular Addition in Neural Networks
by: McCracken, Gavin, et al.
Published: (2025)

VeriPHY: Physical Layer Signal Authentication for Wireless Communication in 5G Environments
by: Robinson, Clifton Paul, et al.
Published: (2025)

Computer Use at the Edge of the Statistical Precipice
by: D'Oro, Pierluca, et al.
Published: (2026)

Learning to Learn from Language Feedback with Social Meta-Learning
by: Cook, Jonathan, et al.
Published: (2026)

Incorporating Spatial Information into Goal-Conditioned Hierarchical Reinforcement Learning via Graph Representations
by: Zhang, Shuyuan, et al.
Published: (2025)