research
∙
06/27/2023
Prioritized Trajectory Replay: A Replay Memory for Data-driven Reinforcement Learning
In recent years, data-driven reinforcement learning (RL), also known as ...
share
research
∙
06/22/2023
FlowFace++: Explicit Semantic Flow-supervised End-to-End Face Swapping
This work proposes a novel face-swapping framework FlowFace++, utilizing...
research
∙
03/07/2023
DINet: Deformation Inpainting Network for Realistic Face Visually Dubbing on High Resolution Video
For few-shot learning, it is still a critical challenge to realize photo...
research
∙
03/02/2023
Zero-Shot Text-to-Parameter Translation for Game Character Auto-Creation
Recent popular Role-Playing Games (RPGs) saw the great success of charac...
research
∙
02/14/2023
Adaptive Value Decomposition with Greedy Marginal Contribution Computation for Cooperative Multi-Agent Reinforcement Learning
Real-world cooperation often requires intensive coordination among agent...
research
∙
02/07/2023
Towards Skilled Population Curriculum for Multi-Agent Reinforcement Learning
Recent advances in multi-agent reinforcement learning (MARL) allow agent...
research
∙
12/17/2022
TCFimt: Temporal Counterfactual Forecasting from Individual Multiple Treatment Perspective
Determining causal effects of temporal multi-intervention assists decisi...
research
∙
10/28/2022
Facial Action Unit Detection and Intensity Estimation from Self-supervised Representation
As a fine-grained and local expression behavior measurement, facial acti...
research
∙
10/02/2022
EUCLID: Towards Efficient Unsupervised Reinforcement Learning with Multi-choice Dynamics Model
Unsupervised reinforcement learning (URL) poses a promising paradigm to ...
research
∙
09/14/2022
Distributed Multi-Robot Obstacle Avoidance via Logarithmic Map-based Deep Reinforcement Learning
Developing a safe, stable, and efficient obstacle avoidance policy in cr...
research
∙
05/27/2022
Off-Beat Multi-Agent Reinforcement Learning
We investigate model-free multi-agent reinforcement learning (MARL) in e...
research
∙
04/19/2022
DecBERT: Enhancing the Language Understanding of BERT with Causal Attention Masks
Since 2017, the Transformer-based models play critical roles in various ...
research
∙
01/18/2022
Youling: an AI-Assisted Lyrics Creation System
Recently, a variety of neural models have been proposed for lyrics gener...
research
∙
10/18/2021
RL4RS: A Real-World Benchmark for Reinforcement Learning based Recommender System
Reinforcement learning based recommender systems (RL-based RS) aims at l...
research
∙
08/30/2021
LOT: A Benchmark for Evaluating Chinese Long Text Understanding and Generation
Standard multi-task benchmarks are essential for driving the progress of...
research
∙
08/16/2021
Neural-to-Tree Policy Distillation with Policy Improvement Criterion
While deep reinforcement learning has achieved promising results in chal...
research
∙
07/20/2021
Audio2Head: Audio-driven One-shot Talking-head Generation with Natural Head Motion
We propose an audio-driven talking-head method to generate photo-realist...
research
∙
06/19/2021
GLIB: Towards Automated Test Oracle for Graphically-Rich Applications
Graphically-rich applications such as games are ubiquitous with attracti...
research
∙
05/19/2021
Long Text Generation by Modeling Sentence-Level and Discourse-Level Coherence
Generating long and coherent text is an important but challenging task, ...
research
∙
05/19/2021
OpenMEVA: A Benchmark for Evaluating Open-ended Story Generation Metrics
Automatic metrics are essential for developing natural language generati...
research
∙
04/26/2021
Easy and Efficient Transformer : Scalable Inference Solution For large NLP mode
The ultra-large-scale pre-training model can effectively improve the eff...
research
∙
04/16/2021
Write-a-speaker: Text-based Emotional and Rhythmic Talking-head Generation
In this paper, we propose a novel text-based talking-head video generati...
research
∙
04/12/2021
Personalized Bundle Recommendation in Online Games
In business domains, bundling is one of the most important marketing str...
research
∙
04/07/2021
Reinforcement Learning with a Disentangled Universal Value Function for Item Recommendation
In recent years, there are great interests as well as challenges in appl...
research
∙
12/06/2020
Fever Basketball: A Complex, Flexible, and Asynchronized Sports Game Environment for Multi-agent Reinforcement Learning
The development of deep reinforcement learning (DRL) has benefited from ...
research
∙
08/27/2020
GraphFederator: Federated Visual Analysis for Multi-party Graphs
This paper presents GraphFederator, a novel approach to construct joint ...
research
∙
08/17/2020
Neutral Face Game Character Auto-Creation via PokerFace-GAN
Game character customization is one of the core features of many recent ...
research
∙
08/17/2020
Fast and Robust Face-to-Parameter Translation for Game Character Auto-Creation
With the rapid development of Role-Playing Games (RPGs), players are now...
research
∙
06/15/2020
Learn to Effectively Explore in Context-Based Meta-RL
Meta reinforcement learning (meta-RL) provides a principled approach for...
research
∙
04/13/2020
Unsupervised Facial Action Unit Intensity Estimation via Differentiable Optimization
The automatic intensity estimation of facial action units (AUs) from a s...
research
∙
03/10/2020
Exploring Unknown States with Action Balance
Exploration is a key problem in reinforcement learning. Recently bonus-b...
research
∙
02/19/2020
Efficient Deep Reinforcement Learning through Policy Transfer
Transfer Learning (TL) has shown great potential to accelerate Reinforce...
research
∙
02/10/2020
Q-value Path Decomposition for Deep Multiagent Reinforcement Learning
Recently, deep multiagent reinforcement learning (MARL) has become a hig...
research
∙
02/04/2020
Multi-label Relation Modeling in Facial Action Units Detection
This paper describes an approach to the facial action units detections. ...
research
∙
02/04/2020
To-sequence:Multi-label Relation Modeling in Facial Action Units Detection
Facial Action Units Detection (FAUD), one of the main approaches for fac...
research
∙
10/20/2019
Diverse Behavior Is What Game AI Needs: Generating Varied Human-Like Playing Styles Using Evolutionary Multi-Objective Deep Reinforcement Learning
Designing artificial intelligence for games (Game AI) has been long reco...
research
∙
09/06/2019
From Few to More: Large-scale Dynamic Multiagent Curriculum Learning
A lot of efforts have been devoted to investigating how agents can learn...
research
∙
09/05/2019
Learning Action-Transferable Policy with Action Embedding
Despite achieving great success on performance in various sequential dec...
research
∙
09/03/2019
Face-to-Parameter Translation for Game Character Auto-Creation
Character customization system is an important component in Role-Playing...
research
∙
07/26/2019
Action Semantics Network: Considering the Effects of Actions in Multiagent Systems
In multiagent systems (MASs), each agent makes individual decisions but ...
research
∙
05/31/2019
Reinforcement Learning Experience Reuse with Policy Residual Representation
Experience reuse is key to sample-efficient reinforcement learning. One ...
research
∙
05/28/2019
FaceSwapNet: Landmark Guided Many-to-Many Face Reenactment
Recent face reenactment studies have achieved remarkable success either ...
research
∙
03/12/2019
Deep Multi-Agent Reinforcement Learning with Discrete-Continuous Hybrid Action Spaces
Deep Reinforcement Learning (DRL) has been applied to address a variety ...
research
∙
09/25/2018
