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06/21/2023
Persuading Farsighted Receivers in MDPs: the Power of Honesty
Bayesian persuasion studies the problem faced by an informed sender who ...
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04/11/2023
A Tale of Sampling and Estimation in Discounted Reinforcement Learning
The most relevant problems in discounted reinforcement learning involve ...
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02/22/2022
Reward-Free Policy Space Compression for Reinforcement Learning
In reinforcement learning, we encode the potential behaviors of an agent...
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02/14/2022
Provably Efficient Causal Model-Based Reinforcement Learning for Systematic Generalization
In the sequential decision making setting, an agent aims to achieve syst...
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02/07/2022
The Importance of Non-Markovianity in Maximum State Entropy Exploration
In the maximum state entropy exploration framework, an agent interacts w...
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02/03/2022
Challenging Common Assumptions in Convex Reinforcement Learning
The classic Reinforcement Learning (RL) formulation concerns the maximiz...
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12/16/2021
Unsupervised Reinforcement Learning in Multiple Environments
Several recent works have been dedicated to unsupervised reinforcement l...
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07/09/2020
A Policy Gradient Method for Task-Agnostic Exploration
In a reward-free environment, what is a suitable intrinsic objective for...
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07/10/2019
An Intrinsically-Motivated Approach for Learning Highly Exploring and Fast Mixing Policies
What is a good exploration strategy for an agent that interacts with an ...
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06/14/2018
