Tim Seyde
11 papers · 2020–2024 · 4 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (21) π Conference Polyglot Β· Bronze π£ Hot Topic Early Bird π€ Dynamic Duo (11)
π
Conference Pioneer
π₯
Unstoppable Β· Bronze
β
The Questioner
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(53)
Venues
Top co-authors
Research topics
Reinforcement Learning
(9)
Machine Learning
(8)
Methods
(8)
Artificial Intelligence
(5)
Applications Β· Reinforcement Learning
(5)
Core AI
(5)
Learning Types Β· Machine Learning
(4)
Optimization & Theory
(3)
Robotics
(2)
Deep Learning
(1)
Application Areas
(1)
Applications Β· Robotics
(1)
Capabilities
(1)
Core Methods
(1)
Learning Types Β· Deep Learning
(1)
Keywords
continuous control
(5)
multi-agent reinforcement learning
(3)
model-based reinforcement learning
(2)
deep reinforcement learning
(2)
upper confidence bound
(2)
value decomposition
(2)
policy gradient
(1)
value function
(1)
sim-to-real transfer
(1)
optimal control
(1)
robot learning
(1)
imitation learning
(1)
uncertainty quantification
(1)
off-policy learning
(1)
optimistic exploration
(1)
hyperparameter optimization
(1)
disentangled representation
(1)
decision tree
(1)
ensemble model
(1)
sample efficiency
(1)
Papers
Growing Q-networks: Solving continuous control tasks with adaptive control resolution
L4DC 2024
Dynamic Multi-Team Racing: Competitive Driving on 1/10-th Scale Vehicles via Learning in Simulation
CoRL 2023
Gigastep - One Billion Steps per Second Multi-agent Reinforcement Learning
NeurIPS 2023
Measuring Interpretability of Neural Policies of Robots with Disentangled Representation
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
NeurIPS 2021
Learning to Plan Optimistically: Uncertainty-Guided Deep Exploration via Latent Model Ensembles
CoRL 2021
Strength Through Diversity: Robust Behavior Learning via Mixture Policies
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