291 citations · 957 across the 23 of their papers we have counts for
4 papers · 1 filter
Transfer Learning for Estimating Causal Effects using Neural Networks
Sören R. Künzel, Bradly C. Stadie, Nikita Vemuri +3
We develop new algorithms for estimating heterogeneous treatment effects, combining recent developments in transfer learning for neural networks with insights from the causal infer…
Simulating the stochastic dynamics and cascade failure of power networks
Charles Matthews, Bradly Stadie, Jonathan Weare +2
For large-scale power networks, the failure of particular transmission lines can offload power to other lines and cause self-protection trips to activate, instigating a cascade of…
Some Considerations on Learning to Explore via Meta-Reinforcement Learning
Bradly C. Stadie, Ge Yang, Rein Houthooft +5
We consider the problem of exploration in meta reinforcement learning. Two new meta reinforcement learning algorithms are suggested: E-MAML and E-. Results are present…
Evolved Policy Gradients
Rein Houthooft, Richard Y. Chen, Phillip Isola +4
We propose a metalearning approach for learning gradient-based reinforcement learning (RL) algorithms. The idea is to evolve a differentiable loss function, such that an agent, whi…