1 citations · 1 across the 6 of their papers we have counts for
7 papers
Depot-Closed Multi-Component Construction for Neural Vehicle Routing
Shinichiro Hamada, Hisashi Kashima
Most neural constructive solvers for the vehicle routing problem (VRP) use route-by-route construction, extending one route until completion before starting the next. This commits…
Predicting Drafted Deck Strength for "Magic: the Gathering"
Tomas Rigaux, Hisashi Kashima
Many real-world games do not admit a fixed, compact rule set: instead, their dynamics are defined by interactions among a large and often evolving collection of game pieces, making…
MACC: Multi-Agent Collaborative Competition for Scientific Exploration
Satoshi Oyama, Yuko Sakurai, Hisashi Kashima
Scientific discovery still relies heavily on the manual efforts of individual researchers, leading to limited exploration, redundant trials, and reduced reproducibility. Human-part…
Enhancing Chess Reinforcement Learning with Graph Representation
Tomas Rigaux, Hisashi Kashima
Mastering games is a hard task, as games can be extremely complex, and still fundamentally different in structure from one another. While the AlphaZero algorithm has demonstrated a…
Mitigating Cognitive Biases in Multi-Criteria Crowd Assessment
Shun Ito, Hisashi Kashima
Crowdsourcing is an easy, cheap, and fast way to perform large scale quality assessment; however, human judgments are often influenced by cognitive biases, which lowers their credi…
Efficient Preference Elicitation in Iterative Combinatorial Auctions with Many Participants
Ryota Maruo, Hisashi Kashima
We study the problem of achieving high efficiency in iterative combinatorial auctions (ICAs). ICAs are a kind of combinatorial auction where the auctioneer interacts with bidders t…
Deep Knowledge Tracing is an implicit dynamic multidimensional item response theory model
Jill-Jênn Vie, Hisashi Kashima
Knowledge tracing consists in predicting the performance of some students on new questions given their performance on previous questions, and can be a prior step to optimizing asse…