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08/17/2023
Diversifying AI: Towards Creative Chess with AlphaZero
In recent years, Artificial Intelligence (AI) systems have surpassed hum...
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05/11/2023
Optimizing Memory Mapping Using Deep Reinforcement Learning
Resource scheduling and allocation is a critical component of many high ...
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07/27/2020
Fast active learning for pure exploration in reinforcement learning
Realistic environments often provide agents with very limited feedback. ...
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06/11/2020
Adaptive Reward-Free Exploration
Reward-free exploration is a reinforcement learning setting recently stu...
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06/10/2020
Planning in Markov Decision Processes with Gap-Dependent Sample Complexity
We propose MDP-GapE, a new trajectory-based Monte-Carlo Tree Search algo...
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02/25/2020
Robust Estimation, Prediction and Control with Linear Dynamics and Generic Costs
We develop a framework for the adaptive model predictive control of a li...
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11/27/2019
Social Attention for Autonomous Decision-Making in Dense Traffic
We study the design of learning architectures for behavioural planning i...
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04/09/2019
Practical Open-Loop Optimistic Planning
We consider the problem of online planning in a Markov Decision Process ...
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03/03/2019
Scaling up budgeted reinforcement learning
Can we learn a control policy able to adapt its behaviour in real time s...
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03/01/2019