Ann Nowe
15 papers · 2014–2024 · 6 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (10) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (6) π£ Hot Topic Early Bird
πΊοΈ
Taxonomy Completionist
(24)
π
Conference Polyglot
(6)
π
Triple Crown
π
Grand Slam
π§¬
Topic Evolution
π
Keyword Champion
(2)
β‘
Prolific Year
(5)
π
Century Club
(15)
ποΈ
Keyword Collector
(50)
Conferences
ICML (4)
IJCAI (4)
ICLR (2)
JMLR (2)
NIPS (2)
AAAI (1)
Top co-authors
Keywords
reinforcement learning
(3)
multi-objective reinforcement learning
(2)
pareto front
(2)
multi-objective optimization
(2)
markov decision process
(2)
multi-agent system
(2)
distributional reinforcement learning
(1)
policy learning
(1)
temporal difference learning
(1)
model-based reinforcement learning
(1)
reward function
(1)
partial observability
(1)
temporal abstraction
(1)
discount factor
(1)
policy optimization
(1)
decision tree
(1)
variational autoencoder
(1)
regret bound
(1)
successor feature
(1)
multi-armed bandit
(1)
Papers
The Wasserstein Believer: Learning Belief Updates for Partially Observable Environments through Reliable Latent Space Models
ICLR 2024
Multi-Step Generalized Policy Improvement by Leveraging Approximate Models
NIPS 2023
Expertise Trees Resolve Knowledge Limitations in Collective Decision-Making
ICML 2023
Wasserstein Auto-encoded MDPs: Formal Verification of Efficiently Distilled RL Policies with Many-sided Guarantees
ICLR 2023
Distributional Multi-Objective Decision Making
IJCAI 2023
A Toolkit for Reliable Benchmarking and Research in Multi-Objective Reinforcement Learning
NIPS 2023
Distillation of RL Policies with Formal Guarantees via Variational Abstraction of Markov Decision Processes
AAAI 2022
AI-Toolbox: A C++ library for Reinforcement Learning and Planning (with Python Bindings)
JMLR 2020
Per-Decision Option Discounting
ICML 2019
Dynamic Weights in Multi-Objective Deep Reinforcement Learning
ICML 2019
Learning to Coordinate with Coordination Graphs in Repeated Single-Stage Multi-Agent Decision Problems
ICML 2018
Towards a White Box Approach to Automated Algorithm Design
IJCAI 2016
Reinforcement Learning from Demonstration through Shaping
IJCAI 2015
Multilateral Negotiation in Boolean Games with Incomplete Information Using Generalized Possibilistic Logic
IJCAI 2015
Multi-Objective Reinforcement Learning using Sets of Pareto Dominating Policies
JMLR 2014