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11/21/2022
Improving Multimodal Interactive Agents with Reinforcement Learning from Human Feedback
An important goal in artificial intelligence is to create agents that ca...
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06/07/2022
Intra-agent speech permits zero-shot task acquisition
Human language learners are exposed to a trickle of informative, context...
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05/26/2022
Evaluating Multimodal Interactive Agents
Creating agents that can interact naturally with humans is a common goal...
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02/16/2022
A data-driven approach for learning to control computers
It would be useful for machines to use computers as humans do so that th...
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12/07/2021
Creating Multimodal Interactive Agents with Imitation and Self-Supervised Learning
A common vision from science fiction is that robots will one day inhabit...
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12/10/2020
Imitating Interactive Intelligence
A common vision from science fiction is that robots will one day inhabit...
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09/11/2020
Physically Embedded Planning Problems: New Challenges for Reinforcement Learning
Recent work in deep reinforcement learning (RL) has produced algorithms ...
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06/22/2020
dm_control: Software and Tasks for Continuous Control
The dm_control software package is a collection of Python libraries and ...
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04/23/2018
Distributed Distributional Deterministic Policy Gradients
This work adopts the very successful distributional perspective on reinf...
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04/17/2018
Learning Awareness Models
We consider the setting of an agent with a fixed body interacting with a...
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01/02/2018
