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06/14/2021
Which Mutual-Information Representation Learning Objectives are Sufficient for Control?
Mutual information maximization provides an appealing formalism for lear...
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05/21/2020
Guided Uncertainty-Aware Policy Optimization: Combining Learning and Model-Based Strategies for Sample-Efficient Policy Learning
Traditional robotic approaches rely on an accurate model of the environm...
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06/13/2019
Goal-conditioned Imitation Learning
Designing rewards for Reinforcement Learning (RL) is challenging because...
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06/13/2019
Sub-policy Adaptation for Hierarchical Reinforcement Learning
Hierarchical Reinforcement Learning is a promising approach to long-hori...
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03/15/2019
Adaptive Variance for Changing Sparse-Reward Environments
Robots that are trained to perform a task in a fixed environment often f...
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01/03/2019
Self-supervised Learning of Image Embedding for Continuous Control
Operating directly from raw high dimensional sensory inputs like images ...
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07/17/2017
Reverse Curriculum Generation for Reinforcement Learning
Many relevant tasks require an agent to reach a certain state, or to man...
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05/17/2017
Automatic Goal Generation for Reinforcement Learning Agents
Reinforcement learning is a powerful technique to train an agent to perf...
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04/10/2017