most citedDeep Model-Based Reinforcement Learning via Estimated Uncertainty and Conservative Policy Optimization

2 citations · 2 across the 1 of their papers we have counts for

collaborators

1 paper

cs.LG2019★ 2 cited

Deep Model-Based Reinforcement Learning via Estimated Uncertainty and Conservative Policy Optimization

Qi Zhou, Houqiang Li, Jie Wang

Model-based reinforcement learning algorithms tend to achieve higher sample efficiency than model-free methods. However, due to the inevitable errors of learned models, model-based…