Cover Image

Demonstration Guided Multi-Objective Reinforcement Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lu, Junlin, Mannion, Patrick, Mason, Karl
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Meta-Learning Approach for Multi-Objective Reinforcement Learning in Sustainable Home Environments
by: Lu, Junlin, et al.
Published: (2024)

Inferring Preferences from Demonstrations in Multi-objective Reinforcement Learning
by: Lu, Junlin, et al.
Published: (2024)

Inferring Preferences from Demonstrations in Multi-Objective Residential Energy Management
by: Lu, Junlin, et al.
Published: (2024)

Go-Explore for Residential Energy Management
by: Lu, Junlin, et al.
Published: (2024)

Demonstration-Guided Continual Reinforcement Learning in Dynamic Environments
by: Yang, Xue, et al.
Published: (2025)

Hindsight Preference Replay Improves Preference-Conditioned Multi-Objective Reinforcement Learning
by: Shianifar, Jonaid, et al.
Published: (2026)

MOMA-AC: A preference-driven actor-critic framework for continuous multi-objective multi-agent reinforcement learning
by: Callaghan, Adam, et al.
Published: (2025)

D-SPEAR: Dual-Stream Prioritized Experience Adaptive Replay for Stable Reinforcement Learning in Robotic Manipulation
by: Zhang, Yu, et al.
Published: (2026)

Multi-Objective Reinforcement Learning for Water Management
by: Osika, Zuzanna, et al.
Published: (2025)

A Deep Reinforcement Learning Approach to Battery Management in Dairy Farming via Proximal Policy Optimization
by: Ali, Nawazish, et al.
Published: (2024)

Safe and Balanced: A Framework for Constrained Multi-Objective Reinforcement Learning
by: Gu, Shangding, et al.
Published: (2024)

A Reinforcement Learning Approach to Dairy Farm Battery Management using Q Learning
by: Ali, Nawazish, et al.
Published: (2024)

Multi-Objective Optimization Using Adaptive Distributed Reinforcement Learning
by: Tan, Jing, et al.
Published: (2024)

TREX: Trajectory Explanations for Multi-Objective Reinforcement Learning
by: Rajapakse, Dilina, et al.
Published: (2026)

Interpretability by Design for Efficient Multi-Objective Reinforcement Learning
by: Xia, Qiyue, et al.
Published: (2025)

An Offline Adaptation Framework for Constrained Multi-Objective Reinforcement Learning
by: Lin, Qian, et al.
Published: (2024)

In Search for Architectures and Loss Functions in Multi-Objective Reinforcement Learning
by: Terekhov, Mikhail, et al.
Published: (2024)

Blockchain-assisted Demonstration Cloning for Multi-Agent Deep Reinforcement Learning
by: Alagha, Ahmed, et al.
Published: (2025)

Uncertainty-Aware Multi-Objective Reinforcement Learning-Guided Diffusion Models for 3D De Novo Molecular Design
by: Chen, Lianghong, et al.
Published: (2025)

Polychromic Objectives for Reinforcement Learning
by: Hamid, Jubayer Ibn, et al.
Published: (2025)

Verified Safe Reinforcement Learning for Neural Network Dynamic Models
by: Wu, Junlin, et al.
Published: (2024)

Navigating Trade-offs: Policy Summarization for Multi-Objective Reinforcement Learning
by: Osika, Zuzanna, et al.
Published: (2024)

STEMO: Early Spatio-temporal Forecasting with Multi-Objective Reinforcement Learning
by: Shao, Wei, et al.
Published: (2024)

FairDICE: Fairness-Driven Offline Multi-Objective Reinforcement Learning
by: Kim, Woosung, et al.
Published: (2025)

Scalable Multi-Objective and Meta Reinforcement Learning via Gradient Estimation
by: Zhang, Zhenshuo, et al.
Published: (2025)

Combining Multi-Objective Bayesian Optimization with Reinforcement Learning for TinyML
by: Deutel, Mark, et al.
Published: (2023)

Optimistic Reinforcement Learning with Quantile Objectives
by: Alipour-Vaezi, Mohammad, et al.
Published: (2025)

Inverse Reinforcement Learning by Estimating Expertise of Demonstrators
by: Beliaev, Mark, et al.
Published: (2024)

Deep Multi-Objective Reinforcement Learning for Utility-Based Infrastructural Maintenance Optimization
by: van Remmerden, Jesse, et al.
Published: (2024)

Advantage-Guided Diffusion for Model-Based Reinforcement Learning
by: Foffano, Daniele, et al.
Published: (2026)

Reinforcement Learning Enabled Peer-to-Peer Energy Trading for Dairy Farms
by: Shah, Mian Ibad Ali, et al.
Published: (2024)

Preference-Guided Diffusion for Multi-Objective Offline Optimization
by: Annadani, Yashas, et al.
Published: (2025)

Reinforcement Learning with $ω$-Regular Objectives and Constraints
by: Wagner, Dominik, et al.
Published: (2025)

Multi-Objective Reinforcement Learning with Max-Min Criterion: A Game-Theoretic Approach
by: Byeon, Woohyeon, et al.
Published: (2025)

Protein-Conditioned Multi-Objective Reinforcement Learning for Full-Length mRNA Design
by: Shao, Zixi, et al.
Published: (2026)

Preference Conditioned Multi-Objective Reinforcement Learning: Decomposed, Diversity-Driven Policy Optimization
by: Ambadkar, Tanmay, et al.
Published: (2026)

Multi-Objective Reinforcement Learning for Power Grid Topology Control
by: Lautenbacher, Thomas, et al.
Published: (2025)

Adaptive Alignment: Dynamic Preference Adjustments via Multi-Objective Reinforcement Learning for Pluralistic AI
by: Harland, Hadassah, et al.
Published: (2024)

MODULI: Unlocking Preference Generalization via Diffusion Models for Offline Multi-Objective Reinforcement Learning
by: Yuan, Yifu, et al.
Published: (2024)

Hybrid Action Based Reinforcement Learning for Multi-Objective Compatible Autonomous Driving
by: Jin, Guizhe, et al.
Published: (2025)