activity
20172023
most citedBenchmarking Model-Based Reinforcement Learning

239 citations · 456 across the 9 of their papers we have counts for

collaborators

9 papers

cs.GR2023★ 2 cited

Synthesizing Physical Character-Scene Interactions

Mohamed Hassan, Yunrong Guo, Tingwu Wang +3

Movement is how people interact with and affect their environment. For realistic character animation, it is necessary to synthesize such interactions between virtual characters and…

cs.CV2021★ 2 cited

Physics-based Human Motion Estimation and Synthesis from Videos

Kevin Xie, Tingwu Wang, Umar Iqbal +3

Human motion synthesis is an important problem with applications in graphics, gaming and simulation environments for robotics. Existing methods require accurate motion capture data…

cs.GR2020★ 13 cited

UniCon: Universal Neural Controller For Physics-based Character Motion

Tingwu Wang, Yunrong Guo, Maria Shugrina +1

The field of physics-based animation is gaining importance due to the increasing demand for realism in video games and films, and has recently seen wide adoption of data-driven tec…

cs.CV2020★ 74 cited

Learning to Generate Diverse Dance Motions with Transformer

Jiaman Li, Yihang Yin, Hang Chu +4

With the ongoing pandemic, virtual concerts and live events using digitized performances of musicians are getting traction on massive multiplayer online worlds. However, well chore…

cs.LG2019★ 239 cited

Benchmarking Model-Based Reinforcement Learning

Tingwu Wang, Xuchan Bao, Ignasi Clavera +7

Model-based reinforcement learning (MBRL) is widely seen as having the potential to be significantly more sample efficient than model-free RL. However, research in model-based RL h…

cs.LG2019★ 76 cited

Exploring Model-based Planning with Policy Networks

Tingwu Wang, Jimmy Ba

Model-based reinforcement learning (MBRL) with model-predictive control or online planning has shown great potential for locomotion control tasks in terms of both sample efficiency…

cs.LG2019★ 33 cited

Neural Graph Evolution: Towards Efficient Automatic Robot Design

Tingwu Wang, Yuhao Zhou, Sanja Fidler +1

Despite the recent successes in robotic locomotion control, the design of robot relies heavily on human engineering. Automatic robot design has been a long studied subject, but the…

cs.CV2018★ 16 cited

VirtualHome: Simulating Household Activities via Programs

Xavier Puig, Kevin Ra, Marko Boben +4

In this paper, we are interested in modeling complex activities that occur in a typical household. We propose to use programs, i.e., sequences of atomic actions and interactions, a…

cs.IT2017★ 1 cited

Access Strategy in Super WiFi Network Powered by Solar Energy Harvesting: A POMDP Method

Tingwu Wang, Jian Wang, Chunxiao Jiang +2

The recently announced Super Wi-Fi Network proposal in United States is aiming to enable Internet access in a nation-wide area. As traditional cable-connected power supply system b…