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05/21/2023
Unsupervised Discovery of Continuous Skills on a Sphere
Recently, methods for learning diverse skills to generate various behavi...
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01/26/2023
Which Experiences Are Influential for Your Agent? Policy Iteration with Turn-over Dropout
In reinforcement learning (RL) with experience replay, experiences store...
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10/05/2021
Dropout Q-Functions for Doubly Efficient Reinforcement Learning
Randomized ensemble double Q-learning (REDQ) has recently achieved state...
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01/06/2021
Off-Policy Meta-Reinforcement Learning Based on Feature Embedding Spaces
Meta-reinforcement learning (RL) addresses the problem of sample ineffic...
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06/04/2020
Meta-Model-Based Meta-Policy Optimization
Model-based reinforcement learning (MBRL) has been applied to meta-learn...
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06/25/2019
Optimistic Proximal Policy Optimization
Reinforcement Learning, a machine learning framework for training an aut...
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05/22/2019
Learning Robust Options by Conditional Value at Risk Optimization
Options are generally learned by using an inaccurate environment model (...
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11/26/2018
Optimization of Information-Seeking Dialogue Strategy for Argumentation-Based Dialogue System
Argumentation-based dialogue systems, which can handle and exchange argu...
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09/29/2018
Refining Manually-Designed Symbol Grounding and High-Level Planning by Policy Gradients
Hierarchical planners that produce interpretable and appropriate plans a...
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09/07/2018
Monte Carlo Tree Search with Scalable Simulation Periods for Continuously Running Tasks
Monte Carlo Tree Search (MCTS) is particularly adapted to domains where ...
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08/02/2017
