Tim Seyde
11 papers · 2020–2024 · 4 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (11) π Conference Polyglot (4) π Interdisciplinary Bridge π§ Keyword Pioneer π Renaissance Researcher (5)
πΊοΈ
Taxonomy Completionist
(20)
π
Interdisciplinary Bridge
π€
Dynamic Duo
(11)
β
The Questioner
π
Conference Pioneer
π₯
Unstoppable
(5)
π
Century Club
(11)
Conferences
CORL (5)
L4DC (3)
NIPS (2)
ICLR (1)
Top co-authors
Keywords
continuous control
(4)
multi-agent reinforcement learning
(2)
upper confidence bound
(2)
deep reinforcement learning
(2)
model-based reinforcement learning
(2)
policy gradient
(1)
value function
(1)
sim-to-real transfer
(1)
optimal control
(1)
robot learning
(1)
imitation learning
(1)
uncertainty quantification
(1)
optimistic exploration
(1)
off-policy learning
(1)
hyperparameter optimization
(1)
sample efficiency
(1)
disentangled representation
(1)
decision tree
(1)
ensemble model
(1)
reinforcement learning
(1)
Papers
Growing Q-networks: Solving continuous control tasks with adaptive control resolution
L4DC 2024
Gigastep - One Billion Steps per Second Multi-agent Reinforcement Learning
NIPS 2023
Measuring Interpretability of Neural Policies of Robots with Disentangled Representation
CORL 2023
Dynamic Multi-Team Racing: Competitive Driving on 1/10-th Scale Vehicles via Learning in Simulation
CORL 2023
Solving Continuous Control via Q-learning
ICLR 2023
Neighborhood Mixup Experience Replay: Local Convex Interpolation for Improved Sample Efficiency in Continuous Control Tasks
L4DC 2022
Is Bang-Bang Control All You Need? Solving Continuous Control with Bernoulli Policies
NIPS 2021
Strength Through Diversity: Robust Behavior Learning via Mixture Policies
CORL 2021
Learning to Plan Optimistically: Uncertainty-Guided Deep Exploration via Latent Model Ensembles
CORL 2021
Deep Latent Competition: Learning to Race Using Visual Control Policies in Latent Space
CORL 2020
Learning to Plan via Deep Optimistic Value Exploration
L4DC 2020