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03/01/2023
LS-IQ: Implicit Reward Regularization for Inverse Reinforcement Learning
Recent methods for imitation learning directly learn a Q-function using ...
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09/23/2022
A Unified Perspective on Natural Gradient Variational Inference with Gaussian Mixture Models
Variational inference with Gaussian mixture models (GMMs) enables learni...
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09/12/2022
Self-supervised Sequential Information Bottleneck for Robust Exploration in Deep Reinforcement Learning
Effective exploration is critical for reinforcement learning agents in e...
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03/02/2022
Integrating Contrastive Learning with Dynamic Models for Reinforcement Learning from Images
Recent methods for reinforcement learning from images use auxiliary task...
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08/12/2020
Assisted Teleoperation in Changing Environments with a Mixture of Virtual Guides
Haptic guidance is a powerful technique to combine the strengths of huma...
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08/08/2020
Non-Adversarial Imitation Learning and its Connections to Adversarial Methods
Many modern methods for imitation learning and inverse reinforcement lea...
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03/08/2020
Deep Adversarial Reinforcement Learning for Object Disentangling
Deep learning in combination with improved training techniques and high ...
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02/26/2020
Probabilistic approach to physical object disentangling
Physically disentangling entangled objects from each other is a problem ...
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01/23/2020
Expected Information Maximization: Using the I-Projection for Mixture Density Estimation
Modelling highly multi-modal data is a challenging problem in machine le...
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07/10/2019
