Stefano Albrecht
4 papers · 2020–2023 · 1 venue · across top CS/AI venues
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Interdisciplinary Bridge · Bronze
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Keywords
deep reinforcement learning
(1)
multi-agent reinforcement learning
(1)
reinforcement learning
(1)
policy evaluation
(1)
on-policy sampling
(1)
partial observability
(1)
conditional mutual information
(1)
latent representation
(1)
disentangled representation
(1)
sparse reward
(1)
data efficiency
(1)
encoder-decoder architecture
(1)
monte carlo estimator
(1)
experience sharing
(1)
correlation shift
(1)
multi-agent system
(1)
off-policy sampling
(1)
agent modelling
(1)
Papers
Conditional Mutual Information for Disentangled Representations in Reinforcement Learning
NeurIPS 2023
Robust On-Policy Sampling for Data-Efficient Policy Evaluation in Reinforcement Learning
NeurIPS 2022
Agent Modelling under Partial Observability for Deep Reinforcement Learning
NeurIPS 2021
Shared Experience Actor-Critic for Multi-Agent Reinforcement Learning
NeurIPS 2020