Cover Image

Policy Optimization in a Noisy Neighborhood: On Return Landscapes in Continuous Control

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Rahn, Nate, D'Oro, Pierluca, Wiltzer, Harley, Bacon, Pierre-Luc, Bellemare, Marc G.
Format:	Preprint
Published:	2023
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

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

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

Action Gaps and Advantages in Continuous-Time Distributional Reinforcement Learning
by: Wiltzer, Harley, et al.
Published: (2024)

Convergence Theorems for Entropy-Regularized and Distributional Reinforcement Learning
by: Jhaveri, Yash, et al.
Published: (2025)

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

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

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

A Distributional Analogue to the Successor Representation
by: Wiltzer, Harley, et al.
Published: (2024)

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

MaestroMotif: Skill Design from Artificial Intelligence Feedback
by: Klissarov, Martin, et al.
Published: (2024)

Tractable Representations for Convergent Approximation of Distributional HJB Equations
by: Alhosh, Julie, et al.
Published: (2025)

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

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

Foundations of Multivariate Distributional Reinforcement Learning
by: Wiltzer, Harley, et al.
Published: (2024)

Decoupling regularization from the action space
by: Mohammadpour, Sobhan, et al.
Published: (2024)

KerJEPA: Kernel Discrepancies for Euclidean Self-Supervised Learning
by: Zimmermann, Eric, et al.
Published: (2025)

Abstractive Red-Teaming of Language Model Character
by: Rahn, Nate, et al.
Published: (2026)

Non-Adversarial Inverse Reinforcement Learning via Successor Feature Matching
by: Jain, Arnav Kumar, et al.
Published: (2024)

Maximum entropy GFlowNets with soft Q-learning
by: Mohammadpour, Sobhan, et al.
Published: (2023)

On the geometry and topology of representations: the manifolds of modular addition
by: Moisescu-Pareja, Gabriela, et al.
Published: (2025)

Layerwise LQR for Geometry-Aware Optimization of Deep Networks
by: Dufort-Labbé, Simon, et al.
Published: (2026)

Fractal Landscapes in Policy Optimization
by: Wang, Tao, et al.
Published: (2023)

Discovery of Sustainable Refrigerants through Physics-Informed RL Fine-Tuning of Sequence Models
by: Goldszal, Adrien, et al.
Published: (2025)

The Three Regimes of Offline-to-Online Reinforcement Learning
by: Li, Lu, et al.
Published: (2025)

ANO : Faster is Better in Noisy Landscape
by: Kegreisz, Adrien
Published: (2025)

Tapered Off-Policy REINFORCE: Stable and efficient reinforcement learning for LLMs
by: Roux, Nicolas Le, et al.
Published: (2025)

On Symmetric Losses for Robust Policy Optimization with Noisy Preferences
by: Nishimori, Soichiro, et al.
Published: (2025)

Moments Matter:Stabilizing Policy Optimization using Return Distributions
by: Jabs, Dennis, et al.
Published: (2026)

Compositional Planning with Jumpy World Models
by: Farebrother, Jesse, et al.
Published: (2026)

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

Reward Redistribution for CVaR MDPs using a Bellman Operator on L-infinity
by: Muni, Aneri, et al.
Published: (2026)

Long-Horizon Model-Based Offline Reinforcement Learning Without Explicit Conservatism
by: Ni, Tianwei, et al.
Published: (2025)

State Entropy Regularization for Robust Reinforcement Learning
by: Ashlag, Yonatan, et al.
Published: (2025)

What Makes Value Learning Efficient in Residual Reinforcement Learning?
by: Ma, Guozheng, et al.
Published: (2026)

Multitask Online Learning: Listen to the Neighborhood Buzz
by: Achddou, Juliette, et al.
Published: (2023)

Kinematic Tokenization: Optimization-Based Continuous-Time Tokens for Learnable Decision Policies in Noisy Time Series
by: Kearney, Griffin
Published: (2026)

Behaviour Policy Optimization: Provably Lower Variance Return Estimates for Off-Policy Reinforcement Learning
by: Goodall, Alexander W., et al.
Published: (2025)

SFBD Flow: A Continuous-Optimization Framework for Training Diffusion Models with Noisy Samples
by: Lu, Haoye, et al.
Published: (2025)

Boosting Continuous Control with Consistency Policy
by: Chen, Yuhui, et al.
Published: (2023)