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09/04/2023
AlphaZero Gomoku
In the past few years, AlphaZero's exceptional capability in mastering i...
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06/27/2023
Automatic Truss Design with Reinforcement Learning
Truss layout design, namely finding a lightweight truss layout satisfyin...
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06/21/2023
SIFTER: A Task-specific Alignment Strategy for Enhancing Sentence Embeddings
The paradigm of pre-training followed by fine-tuning on downstream tasks...
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06/18/2023
Language-Guided Generation of Physically Realistic Robot Motion and Control
We aim to control a robot to physically behave in the real world followi...
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06/01/2023
Safe Offline Reinforcement Learning with Real-Time Budget Constraints
Aiming at promoting the safe real-world deployment of Reinforcement Lear...
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04/24/2023
Reinforcement Learning with Knowledge Representation and Reasoning: A Brief Survey
Reinforcement Learning(RL) has achieved tremendous development in recent...
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02/08/2023
Learning Graph-Enhanced Commander-Executor for Multi-Agent Navigation
This paper investigates the multi-agent navigation problem, which requir...
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02/03/2023
Learning Zero-Shot Cooperation with Humans, Assuming Humans Are Biased
There is a recent trend of applying multi-agent reinforcement learning (...
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01/09/2023
Asynchronous Multi-Agent Reinforcement Learning for Efficient Real-Time Multi-Robot Cooperative Exploration
We consider the problem of cooperative exploration where multiple robots...
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11/28/2022
Causal Deep Reinforcement Learning using Observational Data
Deep reinforcement learning (DRL) requires the collection of plenty of i...
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10/06/2022
DeltaFS: Pursuing Zero Update Overhead via Metadata-Enabled Delta Compression for Log-structured File System on Mobile Devices
Data compression has been widely adopted to release mobile devices from ...
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07/08/2022
Robust optimal investment and risk control for an insurer with general insider information
In this paper, we study the robust optimal investment and risk control p...
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07/08/2022
Malliavin calculus and its application to robust optimal portfolio for an insider
Insider information and model uncertainty are two unavoidable problems f...
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06/15/2022
Revisiting Some Common Practices in Cooperative Multi-Agent Reinforcement Learning
Many advances in cooperative multi-agent reinforcement learning (MARL) a...
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04/03/2022
ESCM^2: Entire Space Counterfactual Multi-Task Model for Post-Click Conversion Rate Estimation
Accurate estimation of post-click conversion rate is critical for buildi...
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04/02/2022
Constrained Sequence-to-Tree Generation for Hierarchical Text Classification
Hierarchical Text Classification (HTC) is a challenging task where a doc...
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12/12/2021
Multi-Agent Vulnerability Discovery for Autonomous Driving with Hazard Arbitration Reward
Discovering hazardous scenarios is crucial in testing and further improv...
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11/07/2021
Coordinated Proximal Policy Optimization
We present Coordinated Proximal Policy Optimization (CoPPO), an algorith...
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10/12/2021
Learning Efficient Multi-Agent Cooperative Visual Exploration
We consider the task of visual indoor exploration with multiple agents, ...
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09/11/2021
Quasi-Monte Carlo-Based Conditional Malliavin Method for Continuous-Time Asian Option Greeks
Although many methods for computing the Greeks of discrete-time Asian op...
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05/09/2021
Reinforcement Learning with Expert Trajectory For Quantitative Trading
In recent years, quantitative investment methods combined with artificia...
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03/02/2021
The Surprising Effectiveness of MAPPO in Cooperative, Multi-Agent Games
Proximal Policy Optimization (PPO) is a popular on-policy reinforcement ...
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01/04/2021
A Joint Training Dual-MRC Framework for Aspect Based Sentiment Analysis
Aspect based sentiment analysis (ABSA) involves three fundamental subtas...
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04/27/2020
Multi-IF : An Approach to Anomaly Detection in Self-Driving Systems
Autonomous driving vehicles (ADVs) are implemented with rich software fu...
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11/10/2019
Symmetrical Gaussian Error Linear Units (SGELUs)
In this paper, a novel neural network activation function, called Symmet...
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08/22/2019
Reinforcement Learning in Healthcare: A Survey
As a subfield of machine learning, reinforcement learning (RL) aims at e...
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11/10/2018
Learning Shaping Strategies in Human-in-the-loop Interactive Reinforcement Learning
Providing reinforcement learning agents with informationally rich human ...
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11/09/2018
The Price of Governance: A Middle Ground Solution to Coordination in Organizational Control
Achieving coordination is crucial in organizational control. This paper ...
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09/22/2018
