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09/19/2023
Monte-Carlo tree search with uncertainty propagation via optimal transport
This paper introduces a novel backup strategy for Monte-Carlo Tree Searc...
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02/11/2022
A Unified Perspective on Value Backup and Exploration in Monte-Carlo Tree Search
Monte-Carlo Tree Search (MCTS) is a class of methods for solving complex...
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05/11/2021
Composable Energy Policies for Reactive Motion Generation and Reinforcement Learning
Reactive motion generation problems are usually solved by computing acti...
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03/25/2021
Model Predictive Actor-Critic: Accelerating Robot Skill Acquisition with Deep Reinforcement Learning
Substantial advancements to model-based reinforcement learning algorithm...
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02/25/2021
A Probabilistic Interpretation of Self-Paced Learning with Applications to Reinforcement Learning
Across machine learning, the use of curricula has shown strong empirical...
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07/01/2020
Convex Regularization in Monte-Carlo Tree Search
Monte-Carlo planning and Reinforcement Learning (RL) are essential to se...
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04/24/2020
Self-Paced Deep Reinforcement Learning
Generalization and reuse of agent behaviour across a variety of learning...
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03/20/2020
Deep Reinforcement Learning with Weighted Q-Learning
Overestimation of the maximum action-value is a well-known problem that ...
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01/04/2020
MushroomRL: Simplifying Reinforcement Learning Research
MushroomRL is an open-source Python library developed to simplify the pr...
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01/01/2020
Long-Term Visitation Value for Deep Exploration in Sparse Reward Reinforcement Learning
Reinforcement learning with sparse rewards is still an open challenge. C...
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11/01/2019
