Akifumi Wachi
15 papers · 2019–2026 · 8 venues · across top CS/AI venues
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (26)
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Century Club · Bronze
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Prolific Year · Productive
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Keyword Collector
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Research topics
Artificial Intelligence
(12)
Core AI
(12)
Reinforcement Learning
(10)
Methods
(9)
Machine Learning
(8)
Applications
(4)
Learning Types · Machine Learning
(4)
Deep Learning
(3)
Natural Language Processing
(3)
Learning Types · Deep Learning
(2)
Optimization & Theory
(2)
Resources & Methods
(2)
Application Areas
(1)
Architectures
(1)
Core Methods
(1)
Keywords
policy optimization
(7)
reinforcement learning
(5)
safety constraint
(5)
safe reinforcement learning
(4)
constrained markov decision process
(3)
constrained optimization
(2)
generalized linear model
(2)
text-based game
(2)
safe exploration
(2)
markov decision process
(2)
neuro-symbolic reasoning
(2)
policy learning
(1)
autonomous driving
(1)
text summarization
(1)
convex optimization
(1)
direct preference optimization
(1)
constraint satisfaction
(1)
preference learning
(1)
offline reinforcement learning
(1)
hierarchical representation
(1)
Papers
Cost-Minimized Label-Flipping Poisoning Attack to LLM Alignment
AAAI 2026
Target Return Optimizer for Multi-Game Decision Transformer
ACML 2025
A Survey of Constraint Formulations in Safe Reinforcement Learning
IJCAI 2024
Flipping-based Policy for Chance-Constrained Markov Decision Processes
NeurIPS 2024
Long-Term Safe Reinforcement Learning with Binary Feedback
AAAI 2024
Stepwise Alignment for Constrained Language Model Policy Optimization
NeurIPS 2024
Safe Exploration in Reinforcement Learning: A Generalized Formulation and Algorithms
NeurIPS 2023
Language-based General Action Template for Reinforcement Learning Agents
ACL 2021
LOA: Logical Optimal Actions for Text-based Interaction Games
ACL 2021
Neuro-Symbolic Reinforcement Learning with First-Order Logic
EMNLP 2021
Polar Embedding
CoNLL 2021
Safe Policy Optimization with Local Generalized Linear Function Approximations
NeurIPS 2021
Q-learning with Language Model for Edit-based Unsupervised Summarization
EMNLP 2020
Safe Reinforcement Learning in Constrained Markov Decision Processes
ICML 2020
Failure-Scenario Maker for Rule-Based Agent using Multi-agent Adversarial Reinforcement Learning and its Application to Autonomous Driving
IJCAI 2019