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12/11/2021
OstrichRL: A Musculoskeletal Ostrich Simulation to Study Bio-mechanical Locomotion
Muscle-actuated control is a research topic of interest spanning differe...
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02/04/2021
Ivy: Templated Deep Learning for Inter-Framework Portability
We introduce Ivy, a templated Deep Learning (DL) framework which abstrac...
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11/24/2020
Scaling All-Goals Updates in Reinforcement Learning Using Convolutional Neural Networks
Being able to reach any desired location in the environment can be a val...
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11/24/2020
CoMic: Complementary Task Learning & Mimicry for Reusable Skills
Learning to control complex bodies and reuse learned behaviors is a long...
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11/24/2020
Time Limits in Reinforcement Learning
In reinforcement learning, it is common to let an agent interact for a f...
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11/15/2020
Tonic: A Deep Reinforcement Learning Library for Fast Prototyping and Benchmarking
Deep reinforcement learning has been one of the fastest growing fields o...
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10/06/2018
Q-map: a Convolutional Approach for Goal-Oriented Reinforcement Learning
Goal-oriented learning has become a core concept in reinforcement learni...
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07/05/2018
Goal-oriented Trajectories for Efficient Exploration
Exploration is a difficult challenge in reinforcement learning and even ...
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11/24/2017
