Akifumi Wachi

According to our database1, Akifumi Wachi authored at least 16 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
A Survey of Constraint Formulations in Safe Reinforcement Learning.
CoRR, 2024

Long-Term Safe Reinforcement Learning with Binary Feedback.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Verbosity Bias in Preference Labeling by Large Language Models.
CoRR, 2023

Bayesian Meta-Learning on Control Barrier Functions with Data from On-Board Sensors.
CoRR, 2023

Safe Exploration in Reinforcement Learning: A Generalized Formulation and Algorithms.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2021
Reinforcement Learning with External Knowledge by using Logical Neural Networks.
CoRR, 2021

Safe Policy Optimization with Local Generalized Linear Function Approximations.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Neuro-Symbolic Reinforcement Learning with First-Order Logic.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Polar Embedding.
Proceedings of the 25th Conference on Computational Natural Language Learning, 2021

Language-based General Action Template for Reinforcement Learning Agents.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

LOA: Logical Optimal Actions for Text-based Interaction Games.
Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Safe Reinforcement Learning in Constrained Markov Decision Processes.
Proceedings of the 37th International Conference on Machine Learning, 2020

Q-learning with Language Model for Edit-based Unsupervised Summarization.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019
Failure-Scenario Maker for Rule-Based Agent using Multi-agent Adversarial Reinforcement Learning and its Application to Autonomous Driving.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018
Safe Exploration in Markov Decision Processes with Time-Variant Safety using Spatio-Temporal Gaussian Process.
CoRR, 2018

Safe Exploration and Optimization of Constrained MDPs Using Gaussian Processes.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018


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