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09/21/2023
Improve the efficiency of deep reinforcement learning through semantic exploration guided by natural language
Reinforcement learning is a powerful technique for learning from trial a...
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05/15/2023
More Like Real World Game Challenge for Partially Observable Multi-Agent Cooperation
Some standardized environments have been designed for partially observab...
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02/23/2023
Improved Training of Mixture-of-Experts Language GANs
Despite the dramatic success in image generation, Generative Adversarial...
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06/02/2022
RACA: Relation-Aware Credit Assignment for Ad-Hoc Cooperation in Multi-Agent Deep Reinforcement Learning
In recent years, reinforcement learning has faced several challenges in ...
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12/07/2021
The Partially Observable Asynchronous Multi-Agent Cooperation Challenge
Multi-agent reinforcement learning (MARL) has received increasing attent...
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11/15/2021
AI in Games: Techniques, Challenges and Opportunities
With breakthrough of AlphaGo, AI in human-computer game has become a ver...
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04/09/2021
Learning to Reweight Imaginary Transitions for Model-Based Reinforcement Learning
Model-based reinforcement learning (RL) is more sample efficient than mo...
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10/24/2020
Planning with Exploration: Addressing Dynamics Bottleneck in Model-based Reinforcement Learning
Model-based reinforcement learning is a framework in which an agent lear...
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02/03/2020
Deep Self-Supervised Representation Learning for Free-Hand Sketch
In this paper, we tackle for the first time, the problem of self-supervi...
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01/08/2020
Deep Learning for Free-Hand Sketch: A Survey and A Toolbox
Free-hand sketches are highly illustrative, and have been widely used by...
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05/28/2017
Cross-modal Subspace Learning for Fine-grained Sketch-based Image Retrieval
Sketch-based image retrieval (SBIR) is challenging due to the inherent d...
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07/21/2016
A Comprehensive Survey on Cross-modal Retrieval
In recent years, cross-modal retrieval has drawn much attention due to t...
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11/28/2014
