Nicolas Heess
83 papers
· 2012–2025
· 8 conferences
· across top CS/AI conferences
Achievements
πΊοΈ
Taxonomy Completionist
(21)
π
Cross-Pollinator
(10)
π
Academic Marathon
(13)
π
Conference Polyglot
(8)
π
Renaissance Researcher
(6)
π
Interdisciplinary Bridge
π£
Hot Topic Early Bird
π§
Keyword Pioneer
π
Keyword Trendsetter Combo
(7)
π
Conference Loyalist
(22)
π€
Dynamic Duo
(21)
π₯
Mega-Team
(49)
π
Triple Crown
π¬
Deep Specialist
(25)
π
Keyword Champion
π§¬
Topic Evolution
π₯
Unstoppable
(14)
π
Trend Setter
π
Century Club
(83)
π
Conference Pioneer
β‘
Prolific Year
(8)
ποΈ
Keyword Collector
(78)
Conferences
ICLR (22)
NIPS (22)
ICML (18)
CORL (10)
AISTATS (6)
RSS (3)
ACL (1)
JMLR (1)
Top co-authors
Keywords
reinforcement learning
(14)
deep reinforcement learning
(6)
value function
(6)
off-policy learning
(5)
transfer learning
(5)
offline reinforcement learning
(5)
multi-task learning
(4)
imitation learning
(4)
continuous control
(4)
policy optimization
(4)
variance reduction
(4)
credit assignment
(4)
representation learning
(3)
hierarchical reinforcement learning
(3)
probabilistic inference
(3)
robot manipulation
(3)
sim-to-real transfer
(3)
policy gradient
(3)
variational inference
(3)
model-based reinforcement learning
(3)
Papers
Coherent Soft Imitation Learning
NIPS 2023
NeuPL: Neural Population Learning
ICLR 2022
Neural Production Systems
NIPS 2021
Value-driven Hindsight Modelling
NIPS 2020
Critic Regularized Regression
NIPS 2020
The Termination Critic
AISTATS 2019
Hindsight Credit Assignment
NIPS 2019
Maximum a Posteriori Policy Optimisation
ICLR 2018
Robust Imitation of Diverse Behaviors
NIPS 2017
Filtering Variational Objectives
NIPS 2017
Recurrent Models of Visual Attention
NIPS 2014
Deterministic Policy Gradient Algorithms
ICML 2014
Searching for objects driven by context
NIPS 2012