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10/26/2020
Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning
Model-based reinforcement learning (RL) has shown great potential in var...
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05/16/2020
Mutual Information Maximization for Robust Plannable Representations
Extending the capabilities of robotics to real-world complex, unstructur...
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05/16/2020
Model-Augmented Actor-Critic: Backpropagating through Paths
Current model-based reinforcement learning approaches use the model simp...
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10/28/2019
Asynchronous Methods for Model-Based Reinforcement Learning
Significant progress has been made in the area of model-based reinforcem...
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07/03/2019
Benchmarking Model-Based Reinforcement Learning
Model-based reinforcement learning (MBRL) is widely seen as having the p...
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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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10/16/2018
ProMP: Proximal Meta-Policy Search
Credit assignment in Meta-reinforcement learning (Meta-RL) is still poor...
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09/14/2018
Model-Based Reinforcement Learning via Meta-Policy Optimization
Model-based reinforcement learning approaches carry the promise of being...
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03/30/2018
Learning to Adapt: Meta-Learning for Model-Based Control
Although reinforcement learning methods can achieve impressive results i...
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02/28/2018