Cover Image

Towards Causal Model-Based Policy Optimization

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Caron, Alberto, Mavroudis, Vasilios, Hicks, Chris
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 Efficient Bayesian Exploration in Model-Based Reinforcement Learning
by: Caron, Alberto, et al.
Published: (2025)

A View on Out-of-Distribution Identification from a Statistical Testing Theory Perspective
by: Caron, Alberto, et al.
Published: (2024)

Inherently Interpretable and Uncertainty-Aware Models for Online Learning in Cyber-Security Problems
by: Kolicic, Benjamin, et al.
Published: (2024)

Entity-based Reinforcement Learning for Autonomous Cyber Defence
by: Thompson, Isaac Symes, et al.
Published: (2024)

Nearest Neighbour with Bandit Feedback
by: Pasteris, Stephen, et al.
Published: (2023)

Fairness with Exponential Weights
by: Pasteris, Stephen, et al.
Published: (2024)

Extraction Propagation
by: Pasteris, Stephen, et al.
Published: (2024)

Beyond Training-time Poisoning: Component-level and Post-training Backdoors in Deep Reinforcement Learning
by: Vyas, Sanyam, et al.
Published: (2025)

Beyond Rewards in Reinforcement Learning for Cyber Defence
by: Bates, Elizabeth, et al.
Published: (2026)

Less is more? Rewards in RL for Cyber Defence
by: Bates, Elizabeth, et al.
Published: (2025)

Mitigating Deep Reinforcement Learning Backdoors in the Neural Activation Space
by: Vyas, Sanyam, et al.
Published: (2024)

Online Convex Optimisation: The Optimal Switching Regret for all Segmentations Simultaneously
by: Pasteris, Stephen, et al.
Published: (2024)

Autonomous Network Defence using Reinforcement Learning
by: Foley, Myles, et al.
Published: (2024)

An Attentive Graph Agent for Topology-Adaptive Cyber Defence
by: Sandoval, Ilya Orson, et al.
Published: (2025)

DRMD: Deep Reinforcement Learning for Malware Detection under Concept Drift
by: McFadden, Shae, et al.
Published: (2025)

SoK: The Pitfalls of Deep Reinforcement Learning for Cybersecurity
by: McFadden, Shae, et al.
Published: (2026)

Environment Complexity and Nash Equilibria in a Sequential Social Dilemma
by: Yasir, Mustafa, et al.
Published: (2024)

CybORG++: An Enhanced Gym for the Development of Autonomous Cyber Agents
by: Emerson, Harry, et al.
Published: (2024)

Poisoning Attacks on LLMs Require a Near-constant Number of Poison Samples
by: Souly, Alexandra, et al.
Published: (2025)

Zero-Trust Network Access (ZTNA)
by: Mavroudis, Vasilios
Published: (2024)

Towards Generalizable Reasoning: Group Causal Counterfactual Policy Optimization for LLM Reasoning
by: Wang, Jingyao, et al.
Published: (2026)

What if we could hot swap our Biometrics?
by: Crowcroft, Jon, et al.
Published: (2025)

Towards Representation Learning for Weighting Problems in Design-Based Causal Inference
by: Clivio, Oscar, et al.
Published: (2024)

Group Causal Policy Optimization for Post-Training Large Language Models
by: Gu, Ziyin, et al.
Published: (2025)

Quantifying Mix Network Privacy Erosion with Generative Models
by: Mavroudis, Vasilios, et al.
Published: (2025)

STGCN-LSTM for Olympic Medal Prediction: Dynamic Power Modeling and Causal Policy Optimization
by: Wang, Yiquan, et al.
Published: (2025)

Causally-Enhanced Reinforcement Policy Optimization
by: Wang, Xiangqi, et al.
Published: (2025)

Analysis of Publicly Accessible Operational Technology and Associated Risks
by: Rodda, Matthew, et al.
Published: (2025)

HonestCyberEval: An AI Cyber Risk Benchmark for Automated Software Exploitation
by: Ristea, Dan, et al.
Published: (2024)

Referential Security as a New Paradigm for AI Evaluations
by: Ristea, Dan, et al.
Published: (2026)

Double Horizon Model-Based Policy Optimization
by: Kubo, Akihiro, et al.
Published: (2025)

Optimal Mixed Integer Linear Optimization Trained Multivariate Classification Trees
by: Alston, Brandon, et al.
Published: (2024)

One Pic is All it Takes: Poisoning Visual Document Retrieval Augmented Generation with a Single Image
by: Shereen, Ezzeldin, et al.
Published: (2025)

Towards Unsupervised Causal Representation Learning via Latent Additive Noise Model Causal Autoencoders
by: Ong, Hans Jarett J., et al.
Published: (2025)

Towards Empowerment Gain through Causal Structure Learning in Model-Based RL
by: Cao, Hongye, et al.
Published: (2025)

Toward Falsifying Causal Graphs Using a Permutation-Based Test
by: Eulig, Elias, et al.
Published: (2023)

Bayesian Sensitivity of Causal Inference Estimators under Evidence-Based Priors
by: Dhawan, Nikita, et al.
Published: (2026)

Beyond Uniform Credit: Causal Credit Assignment for Policy Optimization
by: Khandoga, Mykola, et al.
Published: (2026)

Model-Based Reinforcement Learning with Double Oracle Efficiency in Policy Optimization and Offline Estimation
by: Hu, Haichen, et al.
Published: (2026)

Learning When to Switch: Adaptive Policy Selection via Reinforcement Learning
by: Tava, Chris
Published: (2025)