Category
PPO、モデルベースRL、RLHFなど、制御・最適化・エージェント設計に関係する技術を扱います。
クエンティング投資プラットフォームを実現するためにAI技術を活用します。
Pythonでマシンラーニングアプリを作成・共有することができるライブラリです。
ゲーム『明日方舟』の支援ツール。全日常のタスクを一括で実行可能。
ゲーム『明日方舟』の支援ツール。全日常のタスクを一括で実行可能。
Magnetic graph networks encode direction through phase, but a learned graph can erase the intended directional
Medicinal plants are usually identified using practitioners' experience, but reproducible, image based methods
ゲーム『明日方舟』の支援ツール。全日常のタスクを一括で実行可能。
Magnetic graph networks encode direction through phase, but a learned graph can erase the intended directional
Medicinal plants are usually identified using practitioners' experience, but reproducible, image based methods
Inoculation prompting is a method to reduce undesired behaviours such as reward hacking in frontier models. It
Repeated decisions over a shared document create two distinct opportunities: reusing document computation and
Humanoid locomotion requires deciding where to step and how to distribute contact forces. However, a disturban
This paper presents an innovative guidance and control method for a space manipulator that actively maneuvers
Object rearrangement planning in cluttered environments is often non-monotone, requiring objects to be tempora
Pythonでマシンラーニングアプリを作成・共有することができるライブラリです。
LLMの推論 Transparency を高めるために、DiffusionGemmaの計算を分離しVariable Transparency とAlgorithmic Transparencyを評価します。
Identifying faulty components from sensor anomalies is difficult because fault effects can propagate through a
We show that the causal structure of spacetime can emerge within the memory of a learning agent performing a q
Open multi-agent systems, where only a subset of agents are controllable, are central to real-world domains su
This paper reviews control architectures for building heating, ventilation and air-conditioning (HVAC) systems
Subgroup discovery aims to identify regions of the feature space where a target variable deviates from its mar
Recent works have observed implicit cross-modal alignment between independently trained unimodal models. Howev
Accurate long-horizon probabilistic predictions of dynamical systems are a prerequisite for model-based decisi
Generative search engines increasingly shape how users discover products, services, and commercial entities by
AI agents are increasingly deployed in settings where they interact and coordinate with other agents, yet hone
Interactive narratives aim to let players influence the unfolding of a story while preserving a coherent and s
Dhārā Bench is a retrieval benchmark for Indian Knowledge Systems (IKS), with 325 questions in 12 categories a
Long-lived agents rely on persistent memory of users, tasks and decisions, and this memory must stay consisten
AI-generated videos often depict people within detailed scenes while leaving their small facial regions poorly
World models are increasingly used to support prediction and planning in embodied agents, but the knowledge is
Wearable robot interfaces must connect user input to timely physical action. We present the proposed platform,
Ball-balancing robots (ballbots) must lean to accelerate, and the lean is limited by the wheel torques and by
Virtual reality experiments involving navigation and simulated robot motion often require large, realistic env
Fine-grained manipulation couples instruction grounding, local visual precision, and sustained execution. We p
Field robots operating in mines, tunnels, and disaster areas require reliable localization despite GNSS denial
Contact transitions allow humanoid robots to redistribute object support across the whole body, enabling manip
Collision-free reaching is central to manipulation, yet real cells often leave the size and exact position of
Social navigation is essential for autonomous service robots operating in human environments, but progress rem
Autonomous inspection of a resident space object is usually posed as a contest between classical next-best-vie
Agentic Real2Sim2Real systems can reconstruct a scene in simulation from camera observations, but contact-rich
Long-horizon dexterous manipulation remains a fundamental challenge for robot learning, requiring the composit
A competent learned controller already recovers from many disturbances. Improving it means learning a correcti
Touching a virtual agent involves more than detecting a finger on a display: the contact surface can deform an
This study aimed to examine the impact of finger movements in hugging robots on users by experimentally invest
Does effective swimming with multiple underactuated soft arms require explicit coordination between arms? We h
We study the efficiency of Bayes-Nash equilibria in first-price procurement auctions. We measure efficiency by
People face the problem of classifying objects into categories while aggregating their opinions. We axiomatica
Social choice literature on multiwinner elections tends to focus on characterizing two distinct tasks: majorit
Machine learning models deployed in decision-making pipelines, from vehicle routing to dynamic pricing to clin
We study online learning in two-player uninformed Markov games, where the opponent may follow an arbitrary, un
Fairness-aware classification seeks to balance predictive accuracy and fairness across demographic groups. Alt
Safe navigation in interactive traffic requires autonomous vehicles to reason about unobservable human charact
This paper studies dual path following for a quadrotor carrying a three-degree-of-freedom arm. The center of m
Surface cleaning requires robots to adapt both where they clean and how they interact with contamination whose
We consider online learning in bilateral trade on platforms such as Uber, Airbnb, and eBay. In each round, a p
We study the stability of data exchange among competing firms. Unlike tangible goods, data is non-rival: shari
Mitigating unfair disparities in sequential decision-making is a growing concern in machine learning. We study
Causal discovery is usually evaluated on simulators or on systems whose ground truth follows from physics or d
High-accuracy repetitive tracking is challenging for position-commanded manipulators whose low-level controlle
Hao Ren, Shuohan Chen, Senyuan Mu, Ruihan Huang, Wanfeng Shang, Yajing Shen
We test whether Koopman structure, linear dynamics in a lifted state space, helps when a humanoid whole-body t
Opening the door of unsecured furniture loads the frictional contacts at its supports; too large a pull slides
State of the art latent dynamics world models achieve impressive performance for robot planning. But do they a
We study approximate Nash equilibria in nonatomic congestion games, with the goal of understanding how much th
An evaluated candidate can improve a local search step, alter the population used by later steps, and affect a
Defense systems for maritime assets must distinguish approaching benign craft from uncrewed surface vessels (U
Recent developments in both high-thrust (HT) and low-thrust (LT) propulsion technologies broaden design option
Visual-inertial odometry (VIO) is a fundamental topic in robotics research. Beyond research, VIO has been adop
A well-known conjecture in online algorithms is that the (randomized) competitive ratio of online budgeted all
クエンティング投資プラットフォームを実現するためにAI技術を活用します。
Reconfigurable Intelligent Surfaces (RIS) are a promising solution for improving millimeter-wave (mmWave) comm
We study satisficing regret minimization in bandits with knapsacks (BwK), where a learner sequentially selects
Teams that cannot communicate seem stuck with what each member sees. We show that their opponent can tell them
An observer sees only part of the surrounding world, yet must keep track of what lies beyond the current view.
An effective agent memory system should adapt to a user's history and task requirements. Human-annotated super
Gymnasiumは、シングルエージェントRLの疑似環境を提供するAPIです。
Evaluating the structural quality of candidate causal graphs when the true causal structure is unknown is an i
Principal-agent hypothesis testing studies statistical contracts in which a principal rewards an agent accordi
We study equilibrium learning in discretized Bayesian games, focusing on first-price auctions as a testbed for
In this paper, we introduce a model-based boosting approach for fitting structured additive distributional cop
Medium altitude, long endurance unmanned aerial systems such as Shahed-type strike drones are an unanswered th
When allocating indivisible goods, the maximum Nash welfare rule is known to be the unique welfarist rule sati
We consider $T$ repeated second-price auctions across $n$ pacing bidders with i.i.d. item arrivals, and show t
Miner extractable value (MEV) poses a persistent challenge for blockchain ecosystems. It arises from the fact
The adaptive clinching auction of Dobzinski, Lavi, and Nisan (FOCS'08) is a cornerstone of mechanism design wi
The inefficiency of decentralized resource allocation is classically measured by the Price of Anarchy (PoA) an
Existing multi-agent collaboration (MAC) methods have primarily explored a group thinking collaboration topolo
Mathematical Foundations of Reinforcement Learningは、ディープラーニングにおける推論力学習の数学的基礎を網羅している。
The MOEA/D is one of the most successful multi-objective evolutionary algorithms. It operates by decomposing t
Replicator dynamics, the central model of evolutionary game theory, describe populations evolving under select
Dealing with climate change requires that all countries engage in costly efforts to reduce their emissions. Re
Lightning routing nodes lend their channel balance for a posted fee. Operators' tools move that fee with the b
We study welfare maximization in a contract model with $m$ principals who privately value a public project's s
Multi-agent systems (MAS) require both effective coordination and specialized task execution. Existing prompt
このリポジトリでは、LLMベースのエージェントアプリケーションのための強化学習の橋渡しを提供しています。
Connectomes now map the neurons and synapses of an adult fly's brain and nerve cord, but how much of behaviour
Many high-stakes collective problems, e.g., climate mitigation and pandemic response, share a structure in whi
Permissionless blockchains use transaction fee mechanisms to allocate the resources that transactions consume,
We study capacity modification in the Hospitals/Residents problem with Couples, in which hospital capacities a
强化学习中文教程（蘑菇书🍄），在线阅读地址：https://datawhalechina.github.io/easy-rl/
Designing optimal auctions for allocating public infrastructure-such as airport slots and energy resources-is
It is well-known that under nominal communication, where agents are able to share information with one another
We introduce and analyze a round-robin simultaneous resource allocation contest, motivated by sports leagues a
In this paper, we identify level-$k$ reasoning in repeated games that operates at the level of a supergame str
We study task assignment under adverse selection and moral hazard. In the single-task setting, agents privatel
The nucleon is the multiplicative counterpart of the nucleolus: it lexicographically maximizes the fraction of
We present an AI-assisted mathematical addendum to Strategic Trip Planning: Striking a Balance Between Competi
In sponsored-shopping auctions, one advertiser may win several positions, and a product that is never displaye
The modeling of the behavior of agents in strategic environments and the prediction of the resulting outcomes
We study the parameterized complexity of finding an EF1 allocation of indivisible items in the group-sharing s
We study randomized committee elections with additive preferences, where we seek best-of-both-worlds proportio
We show that computing an approximate correlated equilibrium of a polytope game is PPAD-complete, and thus pol
Given an incentive-compatible mechanism for a single agent on a restricted domain of valuations, we consider i
A course in reinforcement learning in the wild
In reservoir computing, performance depends on whether the fixed dynamics of the reservoir suit the task, and
Is there a fundamental tradeoff between desiderata for safe AI systems, such as harmlessness and helpfulness?
Allocating renewable resources fairly requires accounting for how present decisions affect future availability
For every fixed $\varepsilon\in(0,1)$ and $η\in[0,1)$, we prove that computing an $(\varepsilon,η)$-weak appro
We give the first unconditional family of polynomial-time algorithms that breaks the $1/3$ approximation barri
We study simple auctions for one additive buyer whose values for $m$ items are independent. Write $\mathrm{REV
General-sum games are more challenging than fully cooperative or adversarial settings because agents may decei
Blockchain participation games combine costly entry, random participation selection, and threshold success int
Automated market makers (AMMs) are central to decentralized exchanges, but their reserve curves make mechanism
In the classical principal-agent setting, the principal delegates some task to the agent, who receives a payme
Duverger's law states that plurality elections tend to concentrate support on two candidates. Pivotal-voter mo
Motivated by applications in reinforcement learning from human feedback, we consider a setting where a given c
When robots are deployed in the real-world, they must interact with other agents and accomplish their own goal
The Value Problem for weighted timed games, an extension of timed automata with weights and adversity, consist
Vowpal Wabbitは、機械学習を進歩させるためのオンライン学習、ハッシュ、reduceなどの強力なアルゴリズムを含むシステムです。その結果、さまざまな問題に応じて、高品質な解決策を提供できます。
We consider two linked problems for ranked choice elections: building a compact summary of a preference profil
We study the route-set allocation problem between end nodes in capacity-constrained flow networks with transfe
Accord is an arbitration oracle on Solana. Any Solana program can create an application specific court (i.e.
Poset games form a fundamental class of combinatorial games that includes classical games such as Nim and Chom
P
We study the fair allocation of indivisible items among $n$ agents with additive valuations (or costs) using t
The resilience and censorship resistance of a blockchain depend on where the validators and proposers of that
Relying on manipulable characteristics to target the allocation of resources is fraught with difficulties. Nai
We study a class of strategic hypothesis testing problems in which a principal aims to allocate resources amon
We study a truthful facility location problem in which agents have private positions in a metric space and kno
The randomized primal-dual framework of Devanur, Jain, and Kleinberg (SODA 2013) splits each unit matching gai
We study the unit-demand pricing problem under \textit{min-buying} behavior, where customers purchase the lowe
I study a dynamic pricing problem in which a seller with limited inventory must sequentially price a perishabl
This survey introduces contract design to computer scientists: using outcome-based payments to incentivize eff
医療では、イメージャは単に画像を解釈するのではなく、複数の画像を比較して診断を行うことが多い。しかし、現在の技術ではこのような比較を行うことは困難であるため、メドリコのDBというデータセットを利用することで、医療の比較推
Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects,
Despite many studies about causes and remedies of plasticity loss in Reinforcement Learning (RL) under continu
Learning can improve an individual's behavior, yet a population risks losing that experience whenever individu
Learning-to-rank (LTR) models can align rankings with undesignated signals when those signals appear as featur