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Papers matching “reward” 46

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Combining Automated Optimisation of Hyperparameters and Reward Shape
2024 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Emma Cramer, Holger H. Hoos, Sebastian Trimpe

0

citations
Potential-based Reward Shaping in Sokoban
2021 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Zhao Yang, Mike Preuß, Aske Plaat

1

citations
Preference-Based Reward Learning under Partial Observability with Inexact Dynamics
2026 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Reza Zolnouri, Semih Çaycı

0

citations
Beyond Safety Filtering: Control Barrier Function-Informed Reinforcement Learning for Connected and Automated Vehicles
2026 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Jianye Xu, Bassam Alrifaee

0

citations
Reinforcement Learning with Verifiable Rewards for Small Search Agents
2026 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Gaurisankar Jayadas, Aske Plaat, Álvaro Serra-Gómez, Sandheep P

0

citations
Multi-objective Optimization of Long-run Average and Total Rewards
2020 arXiv (Cornell University) preprint Computer Science Formal Methods in Verification Open access

Tim Quatmann, Joost-Pieter Katoen

0

citations
Highly Incremental: A Simple Programmatic Approach for Many Objectives (Extended Version)
2026 arXiv (Cornell University) preprint Computer Science Logic, programming, and type systems Open access

Philipp Schröer, Joost-Pieter Katoen

0

citations
Under-Approximating Expected Total Rewards in POMDPs
2022 arXiv (Cornell University) preprint Computer Science Formal Methods in Verification Open access

Alexander Bork, Joost-Pieter Katoen, Tim Quatmann

1

citations
Multiagent Deep Reinforcement Learning: Challenges and Directions Towards Human-Like Approaches.
2021 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Annie Wong, Thomas Bäck, Anna V. Kononova, Aske Plaat

12

citations
Deep Multiagent Reinforcement Learning: Challenges and Directions
2021 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Annie Wong, Thomas Bäck, Anna V. Kononova, Aske Plaat

10

citations
Accurately Computing Expected Visiting Times and Stationary Distributions in Markov Chains
2024 arXiv (Cornell University) preprint Computer Science Formal Methods in Verification Open access

Hannah Mertens, Joost-Pieter Katoen, Tim Quatmann

2

citations
Offline Trajectory Optimization for Offline Reinforcement Learning
2024 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Ziqi Zhao, Zhaochun Ren, Yang Liu, Fajie Yuan, Pengjie Ren, Zhumin Chen

0

citations
An Examination of Offline-Trained Encoders in Vision-Based Deep Reinforcement Learning for Autonomous Driving
2024 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Shawan Taha Mohammed, Alp Argun, Nicolas Bonnotte, Gerd Ascheid

0

citations
Improving the Robustness of Large Language Models via Consistency Alignment
2024 arXiv (Cornell University) preprint Computer Science Topic Modeling Open access

Zhao Yukun, Lingyong Yan, Weiwei Sun, Guoliang Xing, Wang Shuaiqiang, Chong Meng, +3 more

4

citations
Tools at the Frontiers of Quantitative Verification
2024 arXiv (Cornell University) preprint Computer Science Formal Methods in Verification Open access

Roman Andriushchenko, Alexander Bork, Carlos E. Budde, Milan Češka, Kush Grover, Ernst Moritz Hahn, +15 more

2

citations
Fixed Point Certificates for Reachability and Expected Rewards in MDPs
2025 arXiv (Cornell University) preprint Computer Science Formal Methods in Verification Open access

Krishnendu Chatterjee, Tim Quatmann, Maximilian Schäffeler, Maximilian Weininger, Tobias Winkler, Daniel Zilken

1

citations
Compositional Reasoning for Probabilistic Automata with Uncertainty
2026 arXiv (Cornell University) preprint Computer Science Formal Methods in Verification Open access

Hannah Mertens, Tim Quatmann, Joost-Pieter Katoen

0

citations
Designing Exploration Contracts
2024 arXiv (Cornell University) preprint Computer Science Optimization and Search Problems Open access

Martin Hoefer, Conrad Schecker, Kevin Schewior

0

citations
Reinforcement Learning in Infinite State Spaces: Convergence Guarantees via Stable Exploration
2026 HAL (Le Centre pour la Communication Scientifique Directe) preprint Computer Science Reinforcement Learning in Robotics

Vittorio Puricelli, Urtzi Ayesta, Matthieu Jonckheere, Michel Mandjes

0

citations
Search and Explore: Symbiotic Policy Synthesis in POMDPs
2024 Research Square preprint Computer Science Formal Methods in Verification Open access

Roman Andriushchenko, Alexander Bork, Milan Češka, Sebastian Junges, Joost-Pieter Katoen, Filip Macák

1

citations
Token-Level Credit Assignment Optimization for Generative Document Retrieval
2026 arXiv (Cornell University) preprint Computer Science Information Retrieval and Search Behavior Open access

Xinpeng Zhao, Yang Liu, Ran Chen, Xinyu Ma, Daiting Shi, Pengjie Ren, +3 more

0

citations
Provably Robust Temporal Difference Learning for Heavy-Tailed Rewards
2023 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Semih Çaycı, Atilla Eryılmaz

2

citations
Meta Generative Flow Networks with Personalization for Task-Specific Adaptation
2023 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Xinyuan Ji, Xu Zhang, Wei Xi, Haozhi Wang, Olga Gadyatskaya, Yinchuan Li

0

citations
Continuous Episodic Control
2022 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Yang Zhao, Thomas M. Moerland, Mike Preuß, Aske Plaat

0

citations
Soft Preference Optimization: Aligning Language Models to Expert Distributions
2024 arXiv (Cornell University) preprint Computer Science Topic Modeling Open access

Arsalan Sharifnassab, Saber Salehkaleybar, Sina Ghiassian, Surya Kanoria, Dale Schuurmans

0

citations