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Emergent Complexity and Zero-shot Transfer via Unsupervised Environment Design
A wide range of reinforcement learning (RL) problems - including robustn...
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Human-centric Dialog Training via Offline Reinforcement Learning
How can we train a dialog model to produce better conversations by learn...
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Learning Social Learning
Social learning is a key component of human and animal intelligence. By ...
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Hierarchical Reinforcement Learning for Open-Domain Dialog
Open-domain dialog generation is a challenging problem; maximum likeliho...
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Way Off-Policy Batch Deep Reinforcement Learning of Implicit Human Preferences in Dialog
Most deep reinforcement learning (RL) systems are not able to learn effe...
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Approximating Interactive Human Evaluation with Self-Play for Open-Domain Dialog Systems
Building an open-domain conversational agent is a challenging problem. C...
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Tackling Climate Change with Machine Learning
Climate change is one of the greatest challenges facing humanity, and we...
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Social Influence as Intrinsic Motivation for Multi-Agent Deep Reinforcement Learning
We propose a unified mechanism for achieving coordination and communicat...
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Intrinsic Social Motivation via Causal Influence in Multi-Agent RL
We derive a new intrinsic social motivation for multi-agent reinforcemen...
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Learning via social awareness: improving sketch representations with facial feedback
In the quest towards general artificial intelligence (AI), researchers h...
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Sequence Tutor: Conservative Fine-Tuning of Sequence Generation Models with KL-control
This paper proposes a general method for improving the structure and qua...
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