Akifumi Wachi - RankMe

41 papers A* 10B 1C 1Journal 25Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Relative-Budget Theory for Reinforcement Learning with Verifiable Rewards in Large Language Model Reasoning. CoRR Akifumi Wachi, Hirota Kinoshita, Shokichi Takakura, Rei Higuchi, Taiji Suzuki
2026	A*	`conf`	Cost-Minimized Label-Flipping Poisoning Attack to LLM Alignment. AAAI Shigeki Kusaka, Keita Saito, Mikoto Kudo, Takumi Tanabe, Akifumi Wachi, Youhei Akimoto
2026	J	`jnl`	Inference-Aware Meta-Alignment of LLMs via Non-Linear GRPO. CoRR Shokichi Takakura, Akifumi Wachi, Rei Higuchi, Kohei Miyaguchi, Taiji Suzuki
2026	J	`jnl`	Sample-Efficient Hypergradient Estimation for Decentralized Bi-Level Reinforcement Learning. CoRR Mikoto Kudo, Takumi Tanabe, Akifumi Wachi, Youhei Akimoto
2025	J	`jnl`	A Provable Approach for End-to-End Safe Reinforcement Learning. CoRR Akifumi Wachi, Kohei Miyaguchi, Takumi Tanabe, Rei Sato, Youhei Akimoto
2025	J	`jnl`	Cost-Minimized Label-Flipping Poisoning Attack to LLM Alignment. CoRR Shigeki Kusaka, Keita Saito, Mikoto Kudo, Takumi Tanabe, Akifumi Wachi, Youhei Akimoto
2025	J	`jnl`	Learning-Based Event-Triggered MPC With Gaussian Processes Under Terminal Constraints. IEEE Trans. Cybern. Kazumune Hashimoto, Yuga Onoue, Akifumi Wachi, Xun Shen
2025	J	`jnl`	Offline Guarded Safe Reinforcement Learning for Medical Treatment Optimization Strategies. CoRR Runze Yan, Xun Shen, Akifumi Wachi, Sebastien Gros, Anni Zhao, Xiao Hu
2025	J	`jnl`	Target Return Optimizer for Multi-Game Decision Transformer. CoRR Kensuke Tatematsu, Akifumi Wachi
2025	J	`jnl`	Vulnerability Mitigation for Safety-Aligned Language Models via Debiasing. CoRR Thien Q. Tran, Akifumi Wachi, Rei Sato, Takumi Tanabe, Youhei Akimoto
2024	A*	`conf`	A Survey of Constraint Formulations in Safe Reinforcement Learning. IJCAI Akifumi Wachi, Xun Shen, Yanan Sui
2024	J	`jnl`	A Survey of Constraint Formulations in Safe Reinforcement Learning. CoRR Akifumi Wachi, Xun Shen, Yanan Sui
2024	J	`jnl`	Data-efficient safe learning and control with on-board sensors: Bayesian meta-learning and barrier function based approach. Adv. Robotics Wataru Hashimoto, Kazumune Hashimoto, Akifumi Wachi, Xun Shen, Masako Kishida, Shigemasa Takai
2024	A*	`conf`	Flipping-based Policy for Chance-Constrained Markov Decision Processes. NeurIPS Xun Shen, Shuo Jiang, Akifumi Wachi, Kazumune Hashimoto, Sebastien Gros
2024	J	`jnl`	Flipping-based Policy for Chance-Constrained Markov Decision Processes. CoRR Xun Shen, Shuo Jiang, Akifumi Wachi, Kazumune Hashimoto, Sebastien Gros
2024	A*	`conf`	Long-Term Safe Reinforcement Learning with Binary Feedback. AAAI Akifumi Wachi, Wataru Hashimoto, Kazumune Hashimoto
2024	J	`jnl`	Long-term Safe Reinforcement Learning with Binary Feedback. CoRR Akifumi Wachi, Wataru Hashimoto, Kazumune Hashimoto
2024	C	`conf`	Safe Reinforcement Learning Using Model Predictive Control with Probabilistic Control Barrier Function. ACC Xun Shen, Akifumi Wachi, Wataru Hashimoto, Kazumune Hashimoto, Shigemasa Takai
2024	A*	`conf`	Stepwise Alignment for Constrained Language Model Policy Optimization. NeurIPS Akifumi Wachi, Thien Q. Tran, Rei Sato, Takumi Tanabe, Youhei Akimoto
2024	J	`jnl`	Stepwise Alignment for Constrained Language Model Policy Optimization. CoRR Akifumi Wachi, Thien Q. Tran, Rei Sato, Takumi Tanabe, Yohei Akimoto
2023	J	`jnl`	Bayesian Meta-Learning on Control Barrier Functions with Data from On-Board Sensors. CoRR Wataru Hashimoto, Kazumune Hashimoto, Akifumi Wachi, Xun Shen, Masako Kishida, Shigemasa Takai
2023	A*	`conf`	Safe Exploration in Reinforcement Learning: A Generalized Formulation and Algorithms. NeurIPS Akifumi Wachi, Wataru Hashimoto, Xun Shen, Kazumune Hashimoto
2023	J	`jnl`	Safe Exploration in Reinforcement Learning: A Generalized Formulation and Algorithms. CoRR Akifumi Wachi, Wataru Hashimoto, Xun Shen, Kazumune Hashimoto
2023	J	`jnl`	Verbosity Bias in Preference Labeling by Large Language Models. CoRR Keita Saito, Akifumi Wachi, Koki Wataoka, Youhei Akimoto
2021	—	`conf`	LOA: Logical Optimal Actions for Text-based Interaction Games. ACL (demo) Daiki Kimura, Subhajit Chaudhury, Masaki Ono, Michiaki Tatsubori, Don Joven Agravante, Asim Munawar, Akifumi Wachi, Ryosuke Kohita, Alexander Gray
2021	J	`jnl`	LOA: Logical Optimal Actions for Text-based Interaction Games. CoRR Daiki Kimura, Subhajit Chaudhury, Masaki Ono, Michiaki Tatsubori, Don Joven Agravante, Asim Munawar, Akifumi Wachi, Ryosuke Kohita, Alexander Gray
2021	—	`conf`	Language-based General Action Template for Reinforcement Learning Agents. ACL/IJCNLP (Findings) Ryosuke Kohita, Akifumi Wachi, Daiki Kimura, Subhajit Chaudhury, Michiaki Tatsubori, Asim Munawar
2021	—	`conf`	Neuro-Symbolic Reinforcement Learning with First-Order Logic. EMNLP (1) Daiki Kimura, Masaki Ono, Subhajit Chaudhury, Ryosuke Kohita, Akifumi Wachi, Don Joven Agravante, Michiaki Tatsubori, Asim Munawar, Alexander Gray
2021	J	`jnl`	Neuro-Symbolic Reinforcement Learning with First-Order Logic. CoRR Daiki Kimura, Masaki Ono, Subhajit Chaudhury, Ryosuke Kohita, Akifumi Wachi, Don Joven Agravante, Michiaki Tatsubori, Asim Munawar, Alexander Gray
2021	B	`conf`	Polar Embedding. CoNLL Ran Iwamoto, Ryosuke Kohita, Akifumi Wachi
2021	J	`jnl`	Reinforcement Learning with External Knowledge by using Logical Neural Networks. CoRR Daiki Kimura, Subhajit Chaudhury, Akifumi Wachi, Ryosuke Kohita, Asim Munawar, Michiaki Tatsubori, Alexander Gray
2021	A*	`conf`	Safe Policy Optimization with Local Generalized Linear Function Approximations. NeurIPS Akifumi Wachi, Yunyue Wei, Yanan Sui
2021	J	`jnl`	Safe Policy Optimization with Local Generalized Linear Function Approximations. CoRR Akifumi Wachi, Yunyue Wei, Yanan Sui
2020	—	`conf`	Q-learning with Language Model for Edit-based Unsupervised Summarization. EMNLP (1) Ryosuke Kohita, Akifumi Wachi, Yang Zhao, Ryuki Tachibana
2020	J	`jnl`	Q-learning with Language Model for Edit-based Unsupervised Summarization. CoRR Ryosuke Kohita, Akifumi Wachi, Yang Zhao, Ryuki Tachibana
2020	A*	`conf`	Safe Reinforcement Learning in Constrained Markov Decision Processes. ICML Akifumi Wachi, Yanan Sui
2020	J	`jnl`	Safe Reinforcement Learning in Constrained Markov Decision Processes. CoRR Akifumi Wachi, Yanan Sui
2019	A*	`conf`	Failure-Scenario Maker for Rule-Based Agent using Multi-agent Adversarial Reinforcement Learning and its Application to Autonomous Driving. IJCAI Akifumi Wachi
2019	J	`jnl`	Failure-Scenario Maker for Rule-Based Agent using Multi-agent Adversarial Reinforcement Learning and its Application to Autonomous Driving. CoRR Akifumi Wachi
2018	A*	`conf`	Safe Exploration and Optimization of Constrained MDPs Using Gaussian Processes. AAAI Akifumi Wachi, Yanan Sui, Yisong Yue, Masahiro Ono
2018	J	`jnl`	Safe Exploration in Markov Decision Processes with Time-Variant Safety using Spatio-Temporal Gaussian Process. CoRR Akifumi Wachi, Hiroshi Kajino, Asim Munawar