Heterogeneous Knowledge for Augmented Modular Reinforcement Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Wolf, Lorenz, Musolesi, Mirco |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Reward Model Overoptimisation in Iterated RLHF
by: Wolf, Lorenz, et al.
Published: (2025)
by: Wolf, Lorenz, et al.
Published: (2025)
Do Agents Dream of Electric Sheep?: Improving Generalization in Reinforcement Learning through Generative Learning
by: Franceschelli, Giorgio, et al.
Published: (2024)
by: Franceschelli, Giorgio, et al.
Published: (2024)
Reinforcement Learning for Generative AI: State of the Art, Opportunities and Open Research Challenges
by: Franceschelli, Giorgio, et al.
Published: (2023)
by: Franceschelli, Giorgio, et al.
Published: (2023)
Investigating the Impact of Direct Punishment on the Emergence of Cooperation in Multi-Agent Reinforcement Learning Systems
by: Dasgupta, Nayana, et al.
Published: (2023)
by: Dasgupta, Nayana, et al.
Published: (2023)
CoMIX: A Multi-agent Reinforcement Learning Training Architecture for Efficient Decentralized Coordination and Independent Decision-Making
by: Minelli, Giovanni, et al.
Published: (2023)
by: Minelli, Giovanni, et al.
Published: (2023)
Graph Reinforcement Learning for Combinatorial Optimization: A Survey and Unifying Perspective
by: Darvariu, Victor-Alexandru, et al.
Published: (2024)
by: Darvariu, Victor-Alexandru, et al.
Published: (2024)
Tree Search in DAG Space with Model-based Reinforcement Learning for Causal Discovery
by: Darvariu, Victor-Alexandru, et al.
Published: (2023)
by: Darvariu, Victor-Alexandru, et al.
Published: (2023)
Information-Theoretic State Variable Selection for Reinforcement Learning
by: Westphal, Charles, et al.
Published: (2024)
by: Westphal, Charles, et al.
Published: (2024)
On Distributional Reinforcement Learning in Chaotic Dynamical Systems
by: Rudd-Jones, James, et al.
Published: (2026)
by: Rudd-Jones, James, et al.
Published: (2026)
Dynamics of Moral Behavior in Heterogeneous Populations of Learning Agents
by: Tennant, Elizaveta, et al.
Published: (2024)
by: Tennant, Elizaveta, et al.
Published: (2024)
Copyright in Generative Deep Learning
by: Franceschelli, Giorgio, et al.
Published: (2021)
by: Franceschelli, Giorgio, et al.
Published: (2021)
Creativity and Machine Learning: A Survey
by: Franceschelli, Giorgio, et al.
Published: (2021)
by: Franceschelli, Giorgio, et al.
Published: (2021)
DeepCreativity: Measuring Creativity with Deep Learning Techniques
by: Franceschelli, Giorgio, et al.
Published: (2022)
by: Franceschelli, Giorgio, et al.
Published: (2022)
Emergent Semantic Role Understanding in Language Models
by: Griffiths, Carla, et al.
Published: (2026)
by: Griffiths, Carla, et al.
Published: (2026)
DiffSampling: Enhancing Diversity and Accuracy in Neural Text Generation
by: Franceschelli, Giorgio, et al.
Published: (2025)
by: Franceschelli, Giorgio, et al.
Published: (2025)
Reinforcement Learning Discovers Efficient Decentralized Graph Path Search Strategies
by: Pisacane, Alexei, et al.
Published: (2024)
by: Pisacane, Alexei, et al.
Published: (2024)
Trust-based Consensus in Multi-Agent Reinforcement Learning Systems
by: Fung, Ho Long, et al.
Published: (2022)
by: Fung, Ho Long, et al.
Published: (2022)
Thinking Outside the (Gray) Box: A Context-Based Score for Assessing Value and Originality in Neural Text Generation
by: Franceschelli, Giorgio, et al.
Published: (2025)
by: Franceschelli, Giorgio, et al.
Published: (2025)
Large Language Models are Effective Priors for Causal Graph Discovery
by: Darvariu, Victor-Alexandru, et al.
Published: (2024)
by: Darvariu, Victor-Alexandru, et al.
Published: (2024)
Creative Beam Search: LLM-as-a-Judge For Improving Response Generation
by: Franceschelli, Giorgio, et al.
Published: (2024)
by: Franceschelli, Giorgio, et al.
Published: (2024)
Partial Information Decomposition for Data Interpretability and Feature Selection
by: Westphal, Charles, et al.
Published: (2024)
by: Westphal, Charles, et al.
Published: (2024)
Moral Alignment for LLM Agents
by: Tennant, Elizaveta, et al.
Published: (2024)
by: Tennant, Elizaveta, et al.
Published: (2024)
Training Foundation Models as Data Compression: On Information, Model Weights and Copyright Law
by: Franceschelli, Giorgio, et al.
Published: (2024)
by: Franceschelli, Giorgio, et al.
Published: (2024)
Complexity-Regularized Proximal Policy Optimization
by: Serfilippi, Luca, et al.
Published: (2025)
by: Serfilippi, Luca, et al.
Published: (2025)
Hybrid Approaches for Moral Value Alignment in AI Agents: a Manifesto
by: Tennant, Elizaveta, et al.
Published: (2023)
by: Tennant, Elizaveta, et al.
Published: (2023)
Graph Neural Modeling of Network Flows
by: Darvariu, Victor-Alexandru, et al.
Published: (2022)
by: Darvariu, Victor-Alexandru, et al.
Published: (2022)
(Ir)rationality in AI: State of the Art, Research Challenges and Open Questions
by: Macmillan-Scott, Olivia, et al.
Published: (2023)
by: Macmillan-Scott, Olivia, et al.
Published: (2023)
Opponent Shaping in LLM Agents
by: Segura, Marta Emili Garcia, et al.
Published: (2025)
by: Segura, Marta Emili Garcia, et al.
Published: (2025)
Towards Principled Unsupervised Multi-Agent Reinforcement Learning
by: Zamboni, Riccardo, et al.
Published: (2025)
by: Zamboni, Riccardo, et al.
Published: (2025)
Impoola: The Power of Average Pooling for Image-Based Deep Reinforcement Learning
by: Trumpp, Raphael, et al.
Published: (2025)
by: Trumpp, Raphael, et al.
Published: (2025)
LLM-WikiRace Benchmark: How Far Can LLMs Plan over Real-World Knowledge Graphs?
by: Ziomek, Juliusz, et al.
Published: (2026)
by: Ziomek, Juliusz, et al.
Published: (2026)
DynaSearcher: Dynamic Knowledge Graph Augmented Search Agent via Multi-Reward Reinforcement Learning
by: Hao, Chuzhan, et al.
Published: (2025)
by: Hao, Chuzhan, et al.
Published: (2025)
Multi-Agent Reinforcement Learning Simulation for Environmental Policy Synthesis
by: Rudd-Jones, James, et al.
Published: (2025)
by: Rudd-Jones, James, et al.
Published: (2025)
Skill-Enhanced Reinforcement Learning Acceleration from Heterogeneous Demonstrations
by: Zhang, Hanping, et al.
Published: (2024)
by: Zhang, Hanping, et al.
Published: (2024)
Heuristic Transformer: Belief Augmented In-Context Reinforcement Learning
by: Dippel, Oliver, et al.
Published: (2025)
by: Dippel, Oliver, et al.
Published: (2025)
Robust Knowledge Transfer in Tiered Reinforcement Learning
by: Huang, Jiawei, et al.
Published: (2023)
by: Huang, Jiawei, et al.
Published: (2023)
Exploration in Knowledge Transfer Utilizing Reinforcement Learning
by: Jedlička, Adam, et al.
Published: (2024)
by: Jedlička, Adam, et al.
Published: (2024)
KARL: Knowledge Agents via Reinforcement Learning
by: Chang, Jonathan D., et al.
Published: (2026)
by: Chang, Jonathan D., et al.
Published: (2026)
Action Mapping for Reinforcement Learning in Continuous Environments with Constraints
by: Theile, Mirco, et al.
Published: (2024)
by: Theile, Mirco, et al.
Published: (2024)
Robust Gymnasium: A Unified Modular Benchmark for Robust Reinforcement Learning
by: Gu, Shangding, et al.
Published: (2025)
by: Gu, Shangding, et al.
Published: (2025)
Similar Items
-
Reward Model Overoptimisation in Iterated RLHF
by: Wolf, Lorenz, et al.
Published: (2025) -
Do Agents Dream of Electric Sheep?: Improving Generalization in Reinforcement Learning through Generative Learning
by: Franceschelli, Giorgio, et al.
Published: (2024) -
Reinforcement Learning for Generative AI: State of the Art, Opportunities and Open Research Challenges
by: Franceschelli, Giorgio, et al.
Published: (2023) -
Investigating the Impact of Direct Punishment on the Emergence of Cooperation in Multi-Agent Reinforcement Learning Systems
by: Dasgupta, Nayana, et al.
Published: (2023) -
CoMIX: A Multi-agent Reinforcement Learning Training Architecture for Efficient Decentralized Coordination and Independent Decision-Making
by: Minelli, Giovanni, et al.
Published: (2023)