Akifumi Wachi

According to our database, Akifumi Wachi authored at least 21 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Data-efficient safe learning and control with on-board sensors: Bayesian meta-learning and barrier function based approach.

Wataru Hashimoto, Kazumune Hashimoto, Akifumi Wachi, Xun Shen, Masako Kishida, Shigemasa Takai

Adv. Robotics, November, 2024

Stepwise Alignment for Constrained Language Model Policy Optimization.

Akifumi Wachi, Thien Q. Tran, Rei Sato, Takumi Tanabe, Yohei Akimoto

CoRR, 2024

Stepwise Alignment for Constrained Language Model Policy Optimization.

Akifumi Wachi, Thien Q. Tran, Rei Sato, Takumi Tanabe, Youhei Akimoto

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Flipping-based Policy for Chance-Constrained Markov Decision Processes.

Xun Shen, Shuo Jiang, Akifumi Wachi, Kazumune Hashimoto, Sebastien Gros

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

A Survey of Constraint Formulations in Safe Reinforcement Learning.

Akifumi Wachi, Xun Shen, Yanan Sui

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Safe Reinforcement Learning Using Model Predictive Control with Probabilistic Control Barrier Function.

Xun Shen, Akifumi Wachi, Wataru Hashimoto, Kazumune Hashimoto, Shigemasa Takai

Proceedings of the American Control Conference, 2024

Long-Term Safe Reinforcement Learning with Binary Feedback.

Akifumi Wachi, Wataru Hashimoto, Kazumune Hashimoto

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Verbosity Bias in Preference Labeling by Large Language Models.

Keita Saito, Akifumi Wachi, Koki Wataoka, Youhei Akimoto

CoRR, 2023

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

Wataru Hashimoto, Kazumune Hashimoto, Akifumi Wachi, Xun Shen, Masako Kishida, Shigemasa Takai

CoRR, 2023

Safe Exploration in Reinforcement Learning: A Generalized Formulation and Algorithms.

Akifumi Wachi, Wataru Hashimoto, Xun Shen, Kazumune Hashimoto

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.

Daiki Kimura, Subhajit Chaudhury, Akifumi Wachi, Ryosuke Kohita, Asim Munawar, Michiaki Tatsubori, Alexander Gray

CoRR, 2021

Safe Policy Optimization with Local Generalized Linear Function Approximations.

Akifumi Wachi, Yunyue Wei, Yanan Sui

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.

Daiki Kimura, Masaki Ono, Subhajit Chaudhury, Ryosuke Kohita, Akifumi Wachi, Don Joven Agravante, Michiaki Tatsubori, Asim Munawar, Alexander Gray

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Polar Embedding.

Ran Iwamoto, Ryosuke Kohita, Akifumi Wachi

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

Language-based General Action Template for Reinforcement Learning Agents.

Ryosuke Kohita, Akifumi Wachi, Daiki Kimura, Subhajit Chaudhury, Michiaki Tatsubori, Asim Munawar

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

LOA: Logical Optimal Actions for Text-based Interaction Games.

Daiki Kimura, Subhajit Chaudhury, Masaki Ono, Michiaki Tatsubori, Don Joven Agravante, Asim Munawar, Akifumi Wachi, Ryosuke Kohita, Alexander Gray

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.

Akifumi Wachi, Yanan Sui

Proceedings of the 37th International Conference on Machine Learning, 2020

Q-learning with Language Model for Edit-based Unsupervised Summarization.

Ryosuke Kohita, Akifumi Wachi, Yang Zhao, Ryuki Tachibana

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.

Akifumi Wachi

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.

Akifumi Wachi, Hiroshi Kajino, Asim Munawar

CoRR, 2018

Safe Exploration and Optimization of Constrained MDPs Using Gaussian Processes.

Akifumi Wachi, Yanan Sui, Yisong Yue, Masahiro Ono

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018