Sam Toyer
Publications by Year
Research Areas
Reinforcement Learning in Robotics, Adversarial Robustness in Machine Learning, Software Engineering Research, AI-based Problem Solving and Planning, Machine Learning and Algorithms
Most-Cited Works
- → Variational Discriminator Bottleneck: Improving Imitation Learning, Inverse RL, and GANs by Constraining Information Flow(2018)101 cited
- → Action Schema Networks: Generalised Policies With Deep Learning(2018)55 cited
- → Human Pose Forecasting via Deep Markov Models(2017)41 cited
- → Deliberative Alignment: Reasoning Enables Safer Language Models(2025)13 cited
- → Guiding Search with Generalized Policies for Probabilistic Planning(2021)12 cited
- → imitation: Clean Imitation Learning Implementations(2022)9 cited
- → An Empirical Investigation of Representation Learning for Imitation(2022)7 cited