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09/12/2023
Elucidating the solution space of extended reverse-time SDE for diffusion models
Diffusion models (DMs) demonstrate potent image generation capabilities ...
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06/22/2023
Learning from Visual Observation via Offline Pretrained State-to-Go Transformer
Learning from visual observation (LfVO), aiming at recovering policies f...
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06/05/2023
Tackling Non-Stationarity in Reinforcement Learning via Causal-Origin Representation
In real-world scenarios, the application of reinforcement learning is si...
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04/17/2023
LLA-FLOW: A Lightweight Local Aggregation on Cost Volume for Optical Flow Estimation
Lack of texture often causes ambiguity in matching, and handling this is...
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03/29/2023
Plan4MC: Skill Reinforcement Learning and Planning for Open-World Minecraft Tasks
We study building a multi-task agent in Minecraft. Without human demonst...
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03/19/2023
CLIP4MC: An RL-Friendly Vision-Language Model for Minecraft
One of the essential missions in the AI research community is to build a...
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02/16/2023
Model-Based Decentralized Policy Optimization
Decentralized policy optimization has been commonly used in cooperative ...
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02/16/2023
Learning Multi-Object Positional Relationships via Emergent Communication
The study of emergent communication has been dedicated to interactive ar...
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02/02/2023
Best Possible Q-Learning
Fully decentralized learning, where the global information, i.e., the ac...
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11/06/2022
Decentralized Policy Optimization
The study of decentralized learning or independent learning in cooperati...
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10/25/2022
Entity Divider with Language Grounding in Multi-Agent Reinforcement Learning
We investigate the use of natural language to drive the generalization o...
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10/17/2022
Multi-Agent Automated Machine Learning
In this paper, we propose multi-agent automated machine learning (MA2ML)...
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10/09/2022
State Advantage Weighting for Offline RL
We present state advantage weighting for offline reinforcement learning ...
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09/26/2022
Multi-Agent Sequential Decision-Making via Communication
Communication helps agents to obtain information about others so that be...
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09/26/2022
More Centralized Training, Still Decentralized Execution: Multi-Agent Conditional Policy Factorization
In cooperative multi-agent reinforcement learning (MARL), combining valu...
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09/17/2022
MA2QL: A Minimalist Approach to Fully Decentralized Multi-Agent Reinforcement Learning
Decentralized learning has shown great promise for cooperative multi-age...
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06/21/2022
Robust Task Representations for Offline Meta-Reinforcement Learning via Contrastive Learning
We study offline meta-reinforcement learning, a practical reinforcement ...
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06/16/2022
Double Check Your State Before Trusting It: Confidence-Aware Bidirectional Offline Model-Based Imagination
The learned policy of model-free offline reinforcement learning (RL) met...
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06/09/2022
Mildly Conservative Q-Learning for Offline Reinforcement Learning
Offline reinforcement learning (RL) defines the task of learning from a ...
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12/16/2021
Learning to Share in Multi-Agent Reinforcement Learning
In this paper, we study the problem of networked multi-agent reinforceme...
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11/24/2021
APANet: Adaptive Prototypes Alignment Network for Few-Shot Semantic Segmentation
Few-shot semantic segmentation aims to segment novel-class objects in a ...
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10/01/2021
Divergence-Regularized Multi-Agent Actor-Critic
Entropy regularization is a popular method in reinforcement learning (RL...
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08/04/2021
Model-Based Opponent Modeling
When one agent interacts with a multi-agent environment, it is challengi...
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08/04/2021
Offline Decentralized Multi-Agent Reinforcement Learning
In many real-world multi-agent cooperative tasks, due to high cost and r...
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06/10/2021
Informative Policy Representations in Multi-Agent Reinforcement Learning via Joint-Action Distributions
In multi-agent reinforcement learning, the inherent non-stationarity of ...
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04/19/2021
SCNet: Enhancing Few-Shot Semantic Segmentation by Self-Contrastive Background Prototypes
Few-shot semantic segmentation aims to segment novel-class objects in a ...
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02/05/2021
Revisiting Prioritized Experience Replay: A Value Perspective
Experience replay enables off-policy reinforcement learning (RL) agents ...
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01/04/2021
Variationally and Intrinsically motivated reinforcement learning for decentralized traffic signal control
One of the biggest challenges in multi-agent reinforcement learning is c...
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06/11/2020
Learning Individually Inferred Communication for Multi-Agent Cooperation
Communication lays the foundation for human cooperation. It is also cruc...
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06/10/2020
The Emergence of Individuality in Multi-Agent Reinforcement Learning
Individuality is essential in human society, which induces the division ...
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05/18/2020
Niose-Sampling Cross Entropy Loss: Improving Disparity Regression Via Cost Volume Aware Regularizer
Recent end-to-end deep neural networks for disparity regression have ach...
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02/27/2020
XSepConv: Extremely Separated Convolution
Depthwise convolution has gradually become an indispensable operation fo...
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10/31/2019
Learning Fairness in Multi-Agent Systems
Fairness is essential for human society, contributing to stability and p...
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07/30/2019
Towards More Accurate Automatic Sleep Staging via Deep Transfer Learning
Although large annotated sleep databases are publicly available, and mig...
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04/21/2019
Generative Exploration and Exploitation
Sparse reward is one of the biggest challenges in reinforcement learning...
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10/22/2018
Graph Convolutional Reinforcement Learning for Multi-Agent Cooperation
Learning to cooperate is crucially important in multi-agent reinforcemen...
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09/03/2018
Optical Flow Super-Resolution Based on Image Guidence Using Convolutional Neural Network
The convolutional neural network model for optical flow estimation usual...
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05/20/2018
Learning Attentional Communication for Multi-Agent Cooperation
Communication could potentially be an effective way for multi-agent coop...
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09/27/2017