Bruno C. da Silva
6 papers · 2021–2023 · 2 venues · across top CS/AI venues
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Achievements
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Conference Polyglot ยท Bronze
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Interdisciplinary Bridge ยท Bronze
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Taxonomy Completionist
(15)
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Hot Topic Early Bird
Venues
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Research topics
Keywords
reward function
(2)
policy transfer
(2)
generalized policy improvement
(2)
successor feature
(2)
model-based reinforcement learning
(1)
variance reduction
(1)
partial observability
(1)
bilevel optimization
(1)
reward shaping
(1)
multi-objective reinforcement learning
(1)
zero-shot transfer
(1)
distributional shift
(1)
algorithm implementation
(1)
offline policy optimization
(1)
constrained mdp
(1)
cost constraint
(1)
posterior value function
(1)
linear reward function
(1)
convex coverage set
(1)
non-asymptotic confidence
(1)
Papers
A Toolkit for Reliable Benchmarking and Research in Multi-Objective Reinforcement Learning
NeurIPS 2023
Behavior Alignment via Reward Function Optimization
NeurIPS 2023
Multi-Step Generalized Policy Improvement by Leveraging Approximate Models
NeurIPS 2023
Constrained Offline Policy Optimization
ICML 2022
Optimistic Linear Support and Successor Features as a Basis for Optimal Policy Transfer
ICML 2022
Posterior Value Functions: Hindsight Baselines for Policy Gradient Methods
ICML 2021