Program-Based Strategy Induction for Reinforcement Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Correa, Carlos G., Griffiths, Thomas L., Daw, Nathaniel D. |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Amortized Active Causal Induction with Deep Reinforcement Learning
by: Annadani, Yashas, et al.
Published: (2024)
by: Annadani, Yashas, et al.
Published: (2024)
Learning Human-like Representations to Enable Learning Human Values
by: Wynn, Andrea, et al.
Published: (2023)
by: Wynn, Andrea, et al.
Published: (2023)
Distilling Symbolic Priors for Concept Learning into Neural Networks
by: Marinescu, Ioana, et al.
Published: (2024)
by: Marinescu, Ioana, et al.
Published: (2024)
Prism: Policy Reuse via Interpretable Strategy Mapping in Reinforcement Learning
by: Pravetz, Thomas
Published: (2026)
by: Pravetz, Thomas
Published: (2026)
Toward Efficient Exploration by Large Language Model Agents
by: Arumugam, Dilip, et al.
Published: (2025)
by: Arumugam, Dilip, et al.
Published: (2025)
Value-Distributional Model-Based Reinforcement Learning
by: Luis, Carlos E., et al.
Published: (2023)
by: Luis, Carlos E., et al.
Published: (2023)
Conformal Prediction as Bayesian Quadrature
by: Snell, Jake C., et al.
Published: (2025)
by: Snell, Jake C., et al.
Published: (2025)
Exploring the hierarchical structure of human plans via program generation
by: Correa, Carlos G., et al.
Published: (2023)
by: Correa, Carlos G., et al.
Published: (2023)
Explainable Reinforcement Learning for Formula One Race Strategy
by: Thomas, Devin, et al.
Published: (2025)
by: Thomas, Devin, et al.
Published: (2025)
Market Making Strategies with Reinforcement Learning
by: Vicente, Óscar Fernández
Published: (2025)
by: Vicente, Óscar Fernández
Published: (2025)
Reinforcement Learning with Exogenous States and Rewards
by: Trimponias, George, et al.
Published: (2023)
by: Trimponias, George, et al.
Published: (2023)
Solving Deep Reinforcement Learning Tasks with Evolution Strategies and Linear Policy Networks
by: Wong, Annie, et al.
Published: (2024)
by: Wong, Annie, et al.
Published: (2024)
RLBayes: a Bayesian Network Structure Learning Algorithm via Reinforcement Learning-Based Search Strategy
by: Wang, Mingcan, et al.
Published: (2025)
by: Wang, Mingcan, et al.
Published: (2025)
Hyperparameter Optimization for Driving Strategies Based on Reinforcement Learning
by: Adde, Nihal Acharya, et al.
Published: (2024)
by: Adde, Nihal Acharya, et al.
Published: (2024)
Meta-Learning at Scale for Large Language Models via Low-Rank Amortized Bayesian Meta-Learning
by: Zhang, Liyi, et al.
Published: (2025)
by: Zhang, Liyi, et al.
Published: (2025)
Evaluating Interpretable Reinforcement Learning by Distilling Policies into Programs
by: Kohler, Hector, et al.
Published: (2025)
by: Kohler, Hector, et al.
Published: (2025)
Property-Guided LLM Program Synthesis for Planning
by: Pereira, André G., et al.
Published: (2026)
by: Pereira, André G., et al.
Published: (2026)
Transformer-Based Reinforcement Learning for Autonomous Orbital Collision Avoidance in Partially Observable Environments
by: Georges, Thomas, et al.
Published: (2026)
by: Georges, Thomas, et al.
Published: (2026)
Towards Efficient Neurally-Guided Program Induction for ARC-AGI
by: Ouellette, Simon
Published: (2024)
by: Ouellette, Simon
Published: (2024)
Time-Constrained Recommendations: Reinforcement Learning Strategies for E-Commerce
by: Chakrabarty, Sayak, et al.
Published: (2025)
by: Chakrabarty, Sayak, et al.
Published: (2025)
Robust Probabilistic Shielding for Safe Offline Reinforcement Learning
by: Galesloot, Maris F. L., et al.
Published: (2026)
by: Galesloot, Maris F. L., et al.
Published: (2026)
Developing Driving Strategies Efficiently: A Skill-Based Hierarchical Reinforcement Learning Approach
by: Gurses, Yigit, et al.
Published: (2023)
by: Gurses, Yigit, et al.
Published: (2023)
$n$-Musketeers: Reinforcement Learning Shapes Collaboration Among Language Models
by: Masukawa, Ryozo, et al.
Published: (2026)
by: Masukawa, Ryozo, et al.
Published: (2026)
Reinforcement Learning-based Heuristics to Guide Domain-Independent Dynamic Programming
by: Narita, Minori, et al.
Published: (2025)
by: Narita, Minori, et al.
Published: (2025)
Fault Analysis And Predictive Maintenance Of Induction Motor Using Machine Learning
by: Venkatesh, Kavana, et al.
Published: (2024)
by: Venkatesh, Kavana, et al.
Published: (2024)
World Models Unlock Optimal Foraging Strategies in Reinforcement Learning Agents
by: Fonseca, Yesid, et al.
Published: (2025)
by: Fonseca, Yesid, et al.
Published: (2025)
Reinforcement Learning with Symbolic Reward Machines
by: Krug, Thomas, et al.
Published: (2026)
by: Krug, Thomas, et al.
Published: (2026)
Sampling-Based Safe Reinforcement Learning
by: Vignola, Luca, et al.
Published: (2026)
by: Vignola, Luca, et al.
Published: (2026)
Energy-Based Transfer for Reinforcement Learning
by: Deng, Zeyun, et al.
Published: (2025)
by: Deng, Zeyun, et al.
Published: (2025)
StructRL: Recovering Dynamic Programming Structure from Learning Dynamics in Distributional Reinforcement Learning
by: Nowak, Ivo
Published: (2026)
by: Nowak, Ivo
Published: (2026)
Optimizing Variational Quantum Circuits Using Metaheuristic Strategies in Reinforcement Learning
by: Kölle, Michael, et al.
Published: (2024)
by: Kölle, Michael, et al.
Published: (2024)
Probabilistic Curriculum Learning for Goal-Based Reinforcement Learning
by: Salt, Llewyn, et al.
Published: (2025)
by: Salt, Llewyn, et al.
Published: (2025)
Teasing Apart Architecture and Initial Weights as Sources of Inductive Bias in Neural Networks
by: Bencomo, Gianluca, et al.
Published: (2025)
by: Bencomo, Gianluca, et al.
Published: (2025)
CALF: Communication-Aware Learning Framework for Distributed Reinforcement Learning
by: Purves, Carlos, et al.
Published: (2026)
by: Purves, Carlos, et al.
Published: (2026)
Reinforcement Learning via Self-Distillation
by: Hübotter, Jonas, et al.
Published: (2026)
by: Hübotter, Jonas, et al.
Published: (2026)
CHILLI: A data context-aware perturbation method for XAI
by: Anwar, Saif, et al.
Published: (2024)
by: Anwar, Saif, et al.
Published: (2024)
Environment Design for Inverse Reinforcement Learning
by: Buening, Thomas Kleine, et al.
Published: (2022)
by: Buening, Thomas Kleine, et al.
Published: (2022)
STX-Search: Explanation Search for Continuous Dynamic Spatio-Temporal Models
by: Anwar, Saif, et al.
Published: (2025)
by: Anwar, Saif, et al.
Published: (2025)
LAF-Based Evaluation and UTTL-Based Learning Strategies with MIATTs
by: Yang, Yongquan
Published: (2026)
by: Yang, Yongquan
Published: (2026)
Human-Readable Programs as Actors of Reinforcement Learning Agents Using Critic-Moderated Evolution
by: Deproost, Senne, et al.
Published: (2024)
by: Deproost, Senne, et al.
Published: (2024)
Similar Items
-
Amortized Active Causal Induction with Deep Reinforcement Learning
by: Annadani, Yashas, et al.
Published: (2024) -
Learning Human-like Representations to Enable Learning Human Values
by: Wynn, Andrea, et al.
Published: (2023) -
Distilling Symbolic Priors for Concept Learning into Neural Networks
by: Marinescu, Ioana, et al.
Published: (2024) -
Prism: Policy Reuse via Interpretable Strategy Mapping in Reinforcement Learning
by: Pravetz, Thomas
Published: (2026) -
Toward Efficient Exploration by Large Language Model Agents
by: Arumugam, Dilip, et al.
Published: (2025)