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06/13/2023
SayTap: Language to Quadrupedal Locomotion
Large language models (LLMs) have demonstrated the potential to perform ...
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04/21/2023
DEIR: Efficient and Robust Exploration through Discriminative-Model-Based Episodic Intrinsic Rewards
Exploration is a fundamental aspect of reinforcement learning (RL), and ...
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11/28/2022
Collective Intelligence for Object Manipulation with Mobile Robots
While natural systems often present collective intelligence that allows ...
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08/05/2022
Learning to Generalize with Object-centric Agents in the Open World Survival Game Crafter
Reinforcement learning agents must generalize beyond their training expe...
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04/13/2022
Evolving Modular Soft Robots without Explicit Inter-Module Communication using Local Self-Attention
Modularity in robotics holds great potential. In principle, modular robo...
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02/10/2022
EvoJAX: Hardware-Accelerated Neuroevolution
Evolutionary computation has been shown to be a highly effective method ...
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11/29/2021
Collective Intelligence for Deep Learning: A Survey of Recent Developments
In the past decade, we have witnessed the rise of deep learning to domin...
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09/07/2021
The Sensory Neuron as a Transformer: Permutation-Invariant Neural Networks for Reinforcement Learning
In complex systems, we often observe complex global behavior emerge from...
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08/03/2020
Learning Agile Locomotion via Adversarial Training
Developing controllers for agile locomotion is a long-standing challenge...
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03/18/2020