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09/20/2023
Hierarchical reinforcement learning with natural language subgoals
Hierarchical reinforcement learning has been a compelling approach for a...
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02/01/2023
Collaborating with language models for embodied reasoning
Reasoning in a complex and ambiguous environment is a key goal for Reinf...
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01/29/2023
Distilling Internet-Scale Vision-Language Models into Embodied Agents
Instruction-following agents must ground language into their observation...
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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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10/31/2022
Learning to Navigate Wikipedia by Taking Random Walks
A fundamental ability of an intelligent web-based agent is seeking out a...
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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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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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07/08/2021
Imitation by Predicting Observations
Imitation learning enables agents to reuse and adapt the hard-won expert...
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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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10/27/2020
Behavior Priors for Efficient Reinforcement Learning
As we deploy reinforcement learning agents to solve increasingly challen...
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06/01/2020
Probing Emergent Semantics in Predictive Agents via Question Answering
Recent work has shown how predictive modeling can endow agents with rich...
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11/15/2019
Reusable neural skill embeddings for vision-guided whole body movement and object manipulation
Both in simulation settings and robotics, there is an ambition to produc...
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09/26/2019
V-MPO: On-Policy Maximum a Posteriori Policy Optimization for Discrete and Continuous Control
Some of the most successful applications of deep reinforcement learning ...
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03/18/2019
Exploiting Hierarchy for Learning and Transfer in KL-regularized RL
As reinforcement learning agents are tasked with solving more challengin...
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11/28/2018
Neural probabilistic motor primitives for humanoid control
We focus on the problem of learning a single motor module that can flexi...
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11/28/2018
Experience Replay for Continual Learning
Continual learning is the problem of learning new tasks or knowledge whi...
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11/23/2018
Hierarchical visuomotor control of humanoids
We aim to build complex humanoid agents that integrate perception, motor...
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10/15/2018
Optimizing Agent Behavior over Long Time Scales by Transporting Value
Humans spend a remarkable fraction of waking life engaged in acts of "me...
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04/03/2018
Probing Physics Knowledge Using Tools from Developmental Psychology
In order to build agents with a rich understanding of their environment,...
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03/28/2018