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03/06/2022
Leveraging Reward Gradients For Reinforcement Learning in Differentiable Physics Simulations
In recent years, fully differentiable rigid body physics simulators have...
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09/12/2021
Direct Random Search for Fine Tuning of Deep Reinforcement Learning Policies
Researchers have demonstrated that Deep Reinforcement Learning (DRL) is ...
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12/24/2020
Mesh Based Analysis of Low Fractal Dimension ReinforcementLearning Policies
In previous work, using a process we call meshing, the reachable state s...
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12/21/2020
Combining Deep Reinforcement Learning And Local Control For The Acrobot Swing-up And Balance Task
In this work we present a novel extension of soft actor critic, a state ...
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12/21/2020
Explicitly Encouraging Low Fractional Dimensional Trajectories Via Reinforcement Learning
A key limitation in using various modern methods of machine learning in ...
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10/21/2019
Combining Benefits from Trajectory Optimization and Deep Reinforcement Learning
Recent breakthroughs both in reinforcement learning and trajectory optim...
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03/29/2019
Mesh-based Tools to Analyze Deep Reinforcement Learning Policies for Underactuated Biped Locomotion
In this paper, we present a mesh-based approach to analyze stability and...
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03/06/2019
Training in Task Space to Speed Up and Guide Reinforcement Learning
Recent breakthroughs in the reinforcement learning (RL) community have m...
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07/26/2018
