Picture for Wenhao Ding

Wenhao Ding

Bayesian Reparameterization of Reward-Conditioned Reinforcement Learning with Energy-based Models

May 18, 2023
Wenhao Ding, Tong Che, Ding Zhao, Marco Pavone

* Accepted to ICML 2023

Access Paper or Ask Questions

Critical Scenario Generation for Developing Trustworthy Autonomy

Apr 29, 2023
Wenhao Ding

* research statement

Access Paper or Ask Questions

Learning to View: Decision Transformers for Active Object Detection

Jan 23, 2023
Wenhao Ding, Nathalie Majcherczyk, Mohit Deshpande, Xuewei Qi, Ding Zhao, Rajasimman Madhivanan, Arnie Sen

Figure 1 for Learning to View: Decision Transformers for Active Object Detection

Figure 2 for Learning to View: Decision Transformers for Active Object Detection

Figure 3 for Learning to View: Decision Transformers for Active Object Detection

Figure 4 for Learning to View: Decision Transformers for Active Object Detection

* Accepted to ICRA 2023

Access Paper or Ask Questions

Generalizing Goal-Conditioned Reinforcement Learning with Variational Causal Reasoning

Jul 19, 2022
Wenhao Ding, Haohong Lin, Bo Li, Ding Zhao

Figure 1 for Generalizing Goal-Conditioned Reinforcement Learning with Variational Causal Reasoning

Figure 2 for Generalizing Goal-Conditioned Reinforcement Learning with Variational Causal Reasoning

Figure 3 for Generalizing Goal-Conditioned Reinforcement Learning with Variational Causal Reasoning

Figure 4 for Generalizing Goal-Conditioned Reinforcement Learning with Variational Causal Reasoning

* 28 pages, 5 figures, under review

Access Paper or Ask Questions

A Survey on Safety-Critical Scenario Generation for Autonomous Driving -- A Methodological Perspective

Feb 07, 2022
Wenhao Ding, Chejian Xu, Haohong Lin, Bo Li, Ding Zhao

Figure 1 for A Survey on Safety-Critical Scenario Generation for Autonomous Driving -- A Methodological Perspective

Figure 2 for A Survey on Safety-Critical Scenario Generation for Autonomous Driving -- A Methodological Perspective

Figure 3 for A Survey on Safety-Critical Scenario Generation for Autonomous Driving -- A Methodological Perspective

Figure 4 for A Survey on Safety-Critical Scenario Generation for Autonomous Driving -- A Methodological Perspective

* 16 pages, 4 figures

Access Paper or Ask Questions

Certifiable Deep Importance Sampling for Rare-Event Simulation of Black-Box Systems

Nov 03, 2021
Mansur Arief, Yuanlu Bai, Wenhao Ding, Shengyi He, Zhiyuan Huang, Henry Lam, Ding Zhao

Figure 1 for Certifiable Deep Importance Sampling for Rare-Event Simulation of Black-Box Systems

Figure 2 for Certifiable Deep Importance Sampling for Rare-Event Simulation of Black-Box Systems

Figure 3 for Certifiable Deep Importance Sampling for Rare-Event Simulation of Black-Box Systems

Figure 4 for Certifiable Deep Importance Sampling for Rare-Event Simulation of Black-Box Systems

* The conference version of this paper has appeared in AISTATS 2021 (arXiv:2006.15722)

Access Paper or Ask Questions

CausalAF: Causal Autoregressive Flow for Goal-Directed Safety-Critical Scenes Generation

Oct 26, 2021
Wenhao Ding, Haohong Lin, Bo Li, Ding Zhao

Figure 1 for CausalAF: Causal Autoregressive Flow for Goal-Directed Safety-Critical Scenes Generation

Figure 2 for CausalAF: Causal Autoregressive Flow for Goal-Directed Safety-Critical Scenes Generation

Figure 3 for CausalAF: Causal Autoregressive Flow for Goal-Directed Safety-Critical Scenes Generation

Figure 4 for CausalAF: Causal Autoregressive Flow for Goal-Directed Safety-Critical Scenes Generation

* 17 pages. Under review of CleaR 2022

Access Paper or Ask Questions