Google Research

Mark Woodward


My research focus is on creating agents that can learn directly from end users through natural interaction. Potential applications include digital assistants, general purpose robots, and companion video game agents. Relevant research areas include interactive learning, inverse reinforcement learning, active learning, meta-reinforcement learning, multi-agent reinforcement learning, and Bayesian neural networks.

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