Yi Wan | DeepAI

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Featured Co-authors

Hao Wu
145 publications
Shimon Whiteson
97 publications
Martha White
65 publications
Sarath Chandar
58 publications
Richard S. Sutton
47 publications
Adam White
37 publications
Shangtong Zhang
24 publications
Xinyi Liu
18 publications
Janarthanan Rajendran
16 publications
Harm van Seijen
15 publications
Chenglong Fu
15 publications

∙ 09/30/2022

On Convergence of Average-Reward Off-Policy Control Algorithms in Weakly-Communicating MDPs

We show two average-reward off-policy control algorithms, Differential Q...

0 Yi Wan, et al. ∙

∙ 05/25/2022

Toward Discovering Options that Achieve Faster Planning

We propose a new objective for option discovery that emphasizes the comp...

0 Yi Wan, et al. ∙

∙ 04/25/2022

Towards Evaluating Adaptivity of Model-Based Reinforcement Learning Methods

In recent years, a growing number of deep model-based reinforcement lear...

12 Yi Wan, et al. ∙

∙ 02/21/2022

LiDAR-guided Stereo Matching with a Spatial Consistency Constraint

The complementary fusion of light detection and ranging (LiDAR) data and...

0 Yongjun Zhang, et al. ∙

∙ 10/26/2021

Average-Reward Learning and Planning with Options

We extend the options framework for temporal abstraction in reinforcemen...

0 Yi Wan, et al. ∙

∙ 04/17/2021

Planning with Expectation Models for Control

In model-based reinforcement learning (MBRL), Wan et al. (2019) showed c...

0 Katya Kudashkina, et al. ∙

∙ 01/08/2021

Average-Reward Off-Policy Policy Evaluation with Function Approximation

We consider off-policy policy evaluation with function approximation (FA...

0 Shangtong Zhang, et al. ∙

∙ 01/07/2021

Detecting Log Anomalies with Multi-Head Attention (LAMA)

Anomaly detection is a crucial and challenging subject that has been stu...

0 Yicheng Guo, et al. ∙

∙ 06/29/2020

Learning and Planning in Average-Reward Markov Decision Processes

We introduce improved learning and planning algorithms for average-rewar...

8 Yi Wan, et al. ∙

∙ 02/07/2020

Off-policy Maximum Entropy Reinforcement Learning : Soft Actor-Critic with Advantage Weighted Mixture Policy(SAC-AWMP)

The optimal policy of a reinforcement learning problem is often disconti...

19 Zhimin Hou, et al. ∙

∙ 04/02/2019

Planning with Expectation Models

Distribution and sample models are two popular model choices in model-ba...

20 Yi Wan, et al. ∙

∙ 04/14/2015

Clustering Assisted Fundamental Matrix Estimation

In computer vision, the estimation of the fundamental matrix is a basic ...

0 Hao Wu, et al. ∙

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