Alert button
Picture for Alessandro Lazaric

Alessandro Lazaric

Alert button

Simple Ingredients for Offline Reinforcement Learning

Mar 19, 2024
Edoardo Cetin, Andrea Tirinzoni, Matteo Pirotta, Alessandro Lazaric, Yann Ollivier, Ahmed Touati

Viaarxiv icon

Reinforcement Learning with Options

Mar 16, 2024
Ayoub Ghriss, Masashi Sugiyama, Alessandro Lazaric

Viaarxiv icon

Layered State Discovery for Incremental Autonomous Exploration

Feb 07, 2023
Liyu Chen, Andrea Tirinzoni, Alessandro Lazaric, Matteo Pirotta

Figure 1 for Layered State Discovery for Incremental Autonomous Exploration
Figure 2 for Layered State Discovery for Incremental Autonomous Exploration
Viaarxiv icon

Learning Goal-Conditioned Policies Offline with Self-Supervised Reward Shaping

Jan 05, 2023
Lina Mezghani, Sainbayar Sukhbaatar, Piotr Bojanowski, Alessandro Lazaric, Karteek Alahari

Figure 1 for Learning Goal-Conditioned Policies Offline with Self-Supervised Reward Shaping
Figure 2 for Learning Goal-Conditioned Policies Offline with Self-Supervised Reward Shaping
Figure 3 for Learning Goal-Conditioned Policies Offline with Self-Supervised Reward Shaping
Figure 4 for Learning Goal-Conditioned Policies Offline with Self-Supervised Reward Shaping
Viaarxiv icon

On the Complexity of Representation Learning in Contextual Linear Bandits

Dec 19, 2022
Andrea Tirinzoni, Matteo Pirotta, Alessandro Lazaric

Figure 1 for On the Complexity of Representation Learning in Contextual Linear Bandits
Viaarxiv icon

Improved Adaptive Algorithm for Scalable Active Learning with Weak Labeler

Nov 04, 2022
Yifang Chen, Karthik Sankararaman, Alessandro Lazaric, Matteo Pirotta, Dmytro Karamshuk, Qifan Wang, Karishma Mandyam, Sinong Wang, Han Fang

Figure 1 for Improved Adaptive Algorithm for Scalable Active Learning with Weak Labeler
Figure 2 for Improved Adaptive Algorithm for Scalable Active Learning with Weak Labeler
Figure 3 for Improved Adaptive Algorithm for Scalable Active Learning with Weak Labeler
Figure 4 for Improved Adaptive Algorithm for Scalable Active Learning with Weak Labeler
Viaarxiv icon

Scalable Representation Learning in Linear Contextual Bandits with Constant Regret Guarantees

Oct 24, 2022
Andrea Tirinzoni, Matteo Papini, Ahmed Touati, Alessandro Lazaric, Matteo Pirotta

Figure 1 for Scalable Representation Learning in Linear Contextual Bandits with Constant Regret Guarantees
Figure 2 for Scalable Representation Learning in Linear Contextual Bandits with Constant Regret Guarantees
Figure 3 for Scalable Representation Learning in Linear Contextual Bandits with Constant Regret Guarantees
Figure 4 for Scalable Representation Learning in Linear Contextual Bandits with Constant Regret Guarantees
Viaarxiv icon

Contextual bandits with concave rewards, and an application to fair ranking

Oct 18, 2022
Virginie Do, Elvis Dohmatob, Matteo Pirotta, Alessandro Lazaric, Nicolas Usunier

Figure 1 for Contextual bandits with concave rewards, and an application to fair ranking
Figure 2 for Contextual bandits with concave rewards, and an application to fair ranking
Figure 3 for Contextual bandits with concave rewards, and an application to fair ranking
Figure 4 for Contextual bandits with concave rewards, and an application to fair ranking
Viaarxiv icon

Reaching Goals is Hard: Settling the Sample Complexity of the Stochastic Shortest Path

Oct 10, 2022
Liyu Chen, Andrea Tirinzoni, Matteo Pirotta, Alessandro Lazaric

Figure 1 for Reaching Goals is Hard: Settling the Sample Complexity of the Stochastic Shortest Path
Figure 2 for Reaching Goals is Hard: Settling the Sample Complexity of the Stochastic Shortest Path
Figure 3 for Reaching Goals is Hard: Settling the Sample Complexity of the Stochastic Shortest Path
Viaarxiv icon

Linear Convergence of Natural Policy Gradient Methods with Log-Linear Policies

Oct 04, 2022
Rui Yuan, Simon S. Du, Robert M. Gower, Alessandro Lazaric, Lin Xiao

Figure 1 for Linear Convergence of Natural Policy Gradient Methods with Log-Linear Policies
Viaarxiv icon