Search Results for author: Sean L. Barton

Found 3 papers, 0 papers with code

A Narration-based Reward Shaping Approach using Grounded Natural Language Commands

no code implementations31 Oct 2019 Nicholas Waytowich, Sean L. Barton, Vernon Lawhern, Garrett Warnell

While this problem can be addressed through reward shaping, such approaches typically require a human expert with specialized knowledge.

Starcraft Starcraft II

Grounding Natural Language Commands to StarCraft II Game States for Narration-Guided Reinforcement Learning

no code implementations24 Apr 2019 Nicholas Waytowich, Sean L. Barton, Vernon Lawhern, Ethan Stump, Garrett Warnell

While deep reinforcement learning techniques have led to agents that are successfully able to learn to perform a number of tasks that had been previously unlearnable, these techniques are still susceptible to the longstanding problem of {\em reward sparsity}.

Starcraft Starcraft II

Coordination-driven learning in multi-agent problem spaces

no code implementations13 Sep 2018 Sean L. Barton, Nicholas R. Waytowich, Derrik E. Asher

We discuss the role of coordination as a direct learning objective in multi-agent reinforcement learning (MARL) domains.

Multi-agent Reinforcement Learning reinforcement-learning

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