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11/30/2021
Continuous Control With Ensemble Deep Deterministic Policy Gradients
The growth of deep reinforcement learning (RL) has brought multiple exci...
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08/16/2021
Implicitly Regularized RL with Implicit Q-Values
The Q-function is a central quantity in many Reinforcement Learning (RL)...
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06/01/2021
What Matters for Adversarial Imitation Learning?
Adversarial imitation learning has become a popular framework for imitat...
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05/25/2021
Hyperparameter Selection for Imitation Learning
We address the issue of tuning hyperparameters (HPs) for imitation learn...
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06/10/2020
What Matters In On-Policy Reinforcement Learning? A Large-Scale Empirical Study
In recent years, on-policy reinforcement learning (RL) has been successf...
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10/16/2019
Solving Rubik's Cube with a Robot Hand
We demonstrate that models trained only in simulation can be used to sol...
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02/26/2018
Multi-Goal Reinforcement Learning: Challenging Robotics Environments and Request for Research
The purpose of this technical report is two-fold. First of all, it intro...
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10/18/2017
Asymmetric Actor Critic for Image-Based Robot Learning
Deep reinforcement learning (RL) has proven a powerful technique in many...
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10/18/2017
Sim-to-Real Transfer of Robotic Control with Dynamics Randomization
Simulations are attractive environments for training agents as they prov...
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09/28/2017
Overcoming Exploration in Reinforcement Learning with Demonstrations
Exploration in environments with sparse rewards has been a persistent pr...
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07/05/2017
Hindsight Experience Replay
Dealing with sparse rewards is one of the biggest challenges in Reinforc...
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06/06/2017
Parameter Space Noise for Exploration
Deep reinforcement learning (RL) methods generally engage in exploratory...
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03/21/2017
One-Shot Imitation Learning
Imitation learning has been commonly applied to solve different tasks in...
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06/14/2016
Learning to learn by gradient descent by gradient descent
The move from hand-designed features to learned features in machine lear...
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11/19/2015