Andrea Baisero
5 papers · 2021–2023 · 4 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(13)
🐣
Hot Topic Early Bird
🏆
Keyword Champion
Top co-authors
Research topics
Reinforcement Learning
(5)
Methods
(4)
Applications
(3)
Machine Learning
(2)
Learning Types · Machine Learning
(2)
Artificial Intelligence
(1)
Deep Learning
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Core AI
(1)
Learning Types · Deep Learning
(1)
Optimization & Theory
(1)
Keywords
partial observability
(3)
reinforcement learning
(2)
imitation learning
(1)
robot learning
(1)
dynamic programming
(1)
value iteration
(1)
partially observable markov decision process
(1)
policy iteration
(1)
state estimation
(1)
generative model
(1)
inductive bia
(1)
actor-critic method
(1)
gradient variance
(1)
information gathering
(1)
sample-efficient learning
(1)
predictive state representation
(1)
centralized training
(1)
gradient bia
(1)
state-based critic
(1)
policy gradient bia
(1)
Papers
Equivariant Reinforcement Learning under Partial Observability
CoRL 2023
A Deeper Understanding of State-Based Critics in Multi-Agent Reinforcement Learning
AAAI 2022
Asymmetric DQN for partially observable reinforcement learning
UAI 2022
Leveraging Fully Observable Policies for Learning under Partial Observability
CoRL 2022
Reconciling Rewards with Predictive State Representations
IJCAI 2021