10 citations · 15 across the 3 of their papers we have counts for
3 papers
cs.LG2019
Incrementally Learning Functions of the Return
Brendan Bennett, Wesley Chung, Muhammad Zaheer +1
Temporal difference methods enable efficient estimation of value functions in reinforcement learning in an incremental fashion, and are of broader interest because they correspond…
cs.LG2019★ 5 cited
Planning with Expectation Models
Yi Wan, Zaheer Abbas, Adam White +2
Distribution and sample models are two popular model choices in model-based reinforcement learning (MBRL). However, learning these models can be intractable, particularly when the…
cs.AI2018★ 10 cited
Organizing Experience: A Deeper Look at Replay Mechanisms for Sample-based Planning in Continuous State Domains
Yangchen Pan, Muhammad Zaheer, Adam White +2
Model-based strategies for control are critical to obtain sample efficient learning. Dyna is a planning paradigm that naturally interleaves learning and planning, by simulating one…