NeurIPS' 24 | 5min video record | Urban mobility | LLM
wang
NeurIPS' 24 | 5min video record | Urban mobility | LLM
5:32
PhD Thesis Defense (20230704) ▶ MARL for Public Transport Vehicle Fleet Control
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PhD Thesis Defense (20230704) ▶ MARL for Public Transport Vehicle Fleet Control
20:59
Research 3| Robust Dynamic Bus Control: A Distributional Multi-agent Reinforcement Learning Approach
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Research 3| Robust Dynamic Bus Control: A Distributional Multi-agent Reinforcement Learning Approach
25:31
【Literature review23】Learning to Communicate with Deep Multi-Agent Reinforcement Learning
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【Literature review23】Learning to Communicate with Deep Multi-Agent Reinforcement Learning
19:50
Reading | Contrastive Behavioral Similarity Embeddings for Generalization in Reinforcement Learning
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Reading | Contrastive Behavioral Similarity Embeddings for Generalization in Reinforcement Learning
17:29
How do you play 2v3 MOBA games? | Generalize MOBA AI in varying number of agents.
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How do you play 2v3 MOBA games? | Generalize MOBA AI in varying number of agents.
1:42
基于强化学习的王者荣耀游戏AI demo | Can you distinguish the human player and AI player in MOBA
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基于强化学习的王者荣耀游戏AI demo | Can you distinguish the human player and AI player in MOBA
1:05
【Literature review 22】A paper on long-term time series prediction
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【Literature review 22】A paper on long-term time series prediction
11:33
【Research 02】Reducing Bus Bunching with Asynchronous Multi-Agent Reinforcement Learning
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【Research 02】Reducing Bus Bunching with Asynchronous Multi-Agent Reinforcement Learning
16:24
【literature review 21】Spatio-Temporal Graph Scattering Transform
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【literature review 21】Spatio-Temporal Graph Scattering Transform
19:48
【literature review 20】Replacing Rewards with Examples
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【literature review 20】Replacing Rewards with Examples
11:40
【literature review19】 Latent Force Models
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【literature review19】 Latent Force Models
8:57
【literature review 18】Reinforcement Learning for Control with Multiple Frequencies
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【literature review 18】Reinforcement Learning for Control with Multiple Frequencies
20:52
【literature review 17】Promoting Coordination through Policy Regularization in MDRL
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【literature review 17】Promoting Coordination through Policy Regularization in MDRL
28:35
【literature review 16】Graph U-Nets
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【literature review 16】Graph U-Nets
17:48
【literature review 15】Streaming Probabilistic Deep Tensor Factorization
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【literature review 15】Streaming Probabilistic Deep Tensor Factorization
18:38
【Research 01】My research on transition control based on multi-agent deep reinforcement learning
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【Research 01】My research on transition control based on multi-agent deep reinforcement learning
23:19
【Review 14】IG-RL: Inductive Graph Reinforcement Learning for Massive-Scale Traffic Signal Control
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【Review 14】IG-RL: Inductive Graph Reinforcement Learning for Massive-Scale Traffic Signal Control
11:56
Trend of Research Topic in Computer Science from arXiv.org in the last decade (2010-2020)
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Trend of Research Topic in Computer Science from arXiv.org in the last decade (2010-2020)
1:32
Course Project of McGill COMP-767
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Course Project of McGill COMP-767
3:40
【literature review 13】Multi-Agent Reinforcement Learning for Networked System Control
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【literature review 13】Multi-Agent Reinforcement Learning for Networked System Control
16:52
【Literature review 12】Intention Propagation for Multi-agent Reinforcement Learning
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【Literature review 12】Intention Propagation for Multi-agent Reinforcement Learning
25:22
【literature review 11】Learning Multiagent Communication with Backpropagation
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【literature review 11】Learning Multiagent Communication with Backpropagation
7:37
【literature review10】Spatio-Temporal Compressive Sensing and Internet Traffic Matrices
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【literature review10】Spatio-Temporal Compressive Sensing and Internet Traffic Matrices
32:42
【literature review 09】Hindsight Experience Replay
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【literature review 09】Hindsight Experience Replay
21:53
【Literature review08】T-GCN: A Temporal Graph ConvolutionalNetwork for Traffic Prediction
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【Literature review08】T-GCN: A Temporal Graph ConvolutionalNetwork for Traffic Prediction
17:07
【Review07】Powerful tool for big data analysis：Tensor decompositions and applications.
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【Review07】Powerful tool for big data analysis：Tensor decompositions and applications.
20:34
【Review06】Cool application with matrix factorization
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【Review06】Cool application with matrix factorization
18:12
【Review05】The idea is inspiring but the detail is kind of abstract for me.
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【Review05】The idea is inspiring but the detail is kind of abstract for me.
13:27
【Review04】Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments
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【Review04】Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments
9:18
【Review03】Kernels and Regularization on Graphs
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【Review03】Kernels and Regularization on Graphs
9:52
【Review02】Deep Reinforcement Learning for Traffic Light Control in Vehicular Networks
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【Review02】Deep Reinforcement Learning for Traffic Light Control in Vehicular Networks
13:20
【Review01】Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting
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【Review01】Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting
14:53
【Vlog 1】第一次品尝加拿大特色食物poutine
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【Vlog 1】第一次品尝加拿大特色食物poutine
4:14