Daniel J Mankowitz
11 papers · 2016–2024 · 4 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Academic Marathon (8) π Conference Polyglot (4) π Renaissance Researcher (5) πΊοΈ Taxonomy Completionist (16)
π
Interdisciplinary Bridge
π
Academic Marathon
(8)
π§
Keyword Pioneer
π§¬
Topic Evolution
π
Trend Setter
π₯
Unstoppable
(5)
π
Century Club
(11)
Conferences
NIPS (5)
ICLR (3)
ICML (2)
CORL (1)
Top co-authors
Keywords
deep q-network
(2)
deep reinforcement learning
(2)
policy learning
(2)
reinforcement learning
(2)
bayesian regularization
(1)
preference learning
(1)
constraint satisfaction
(1)
value function approximation
(1)
sequential decision
(1)
batch reinforcement learning
(1)
policy selection
(1)
lagrangian relaxation
(1)
directed graph
(1)
bayesian optimization
(1)
temporal abstraction
(1)
lifelong learning
(1)
skill learning
(1)
positional encoding
(1)
least square
(1)
continuous action
(1)
Papers
Nash Learning from Human Feedback
ICML 2024
Transformers Meet Directed Graphs
ICML 2023
COptiDICE: Offline Constrained Reinforcement Learning via Stationary Distribution Correction Estimation
ICLR 2022
A Constrained Multi-Objective Reinforcement Learning Framework
CORL 2021
Active Offline Policy Selection
NIPS 2021
Balancing Constraints and Rewards with Meta-Gradient D4PG
ICLR 2021
Discovering a set of policies for the worst case reward
ICLR 2021
RL Unplugged: A Suite of Benchmarks for Offline Reinforcement Learning
NIPS 2020
Learn What Not to Learn: Action Elimination with Deep Reinforcement Learning
NIPS 2018
Shallow Updates for Deep Reinforcement Learning
NIPS 2017
Adaptive Skills Adaptive Partitions (ASAP)
NIPS 2016