Tadashi Kozuno
Omron (Japan)(JP)
Publications by Year
Research Areas
Reinforcement Learning in Robotics, Advanced Bandit Algorithms Research, Adversarial Robustness in Machine Learning, Optimization and Search Problems, Evolutionary Algorithms and Applications
Most-Cited Works
- Theoretical Analysis of Efficiency and Robustness of Softmax and Gap-Increasing Operators in Reinforcement Learning(2019)
- Leverage the Average: an Analysis of KL Regularization in Reinforcement Learning(2020)
- Leverage the Average: an Analysis of Regularization in RL(2020)
- → Benchmarking Actor-Critic Deep Reinforcement Learning Algorithms for Robotics Control With Action Constraints(2023)16 cited
- → Symmetry-aware Reinforcement Learning for Robotic Assembly under Partial Observability with a Soft Wrist(2024)10 cited
- → Greedification Operators for Policy Optimization: Investigating Forward and Reverse KL Divergences(2021)9 cited
- → When to Replan? An Adaptive Replanning Strategy for Autonomous Navigation using Deep Reinforcement Learning(2024)5 cited
- Learning in two-player zero-sum partially observable Markov games with perfect recall(2021)
- Identifying Co-Adaptation of Algorithmic and Implementational Innovations in Deep Reinforcement Learning: A Taxonomy and Case Study of Inference-based Algorithms.(2021)
- → Language-Guided Pattern Formation for Swarm Robotics with Multi-Agent Reinforcement Learning(2024)3 cited