Justus Piater
6 papers · 2014–2026 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+2 more ↓ Show less ↑
🏃 Academic Marathon · Half 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge · Silver 🌍 Conference Polyglot · Silver 🗺️ Taxonomy Completionist (15)
🧬
Topic Evolution
🧭
Keyword Pioneer
Venues
Top co-authors
Research topics
Machine Learning
(5)
Reinforcement Learning
(4)
Applications
(3)
Core Methods
(3)
Artificial Intelligence
(2)
Core AI
(2)
Methods
(2)
Optimization & Theory
(2)
Deep Learning
(1)
Robotics
(1)
Application Areas
(1)
Bayesian & Probabilistic
(1)
Capabilities
(1)
Learning Paradigms
(1)
Learning Types
(1)
Keywords
robotic manipulation
(2)
zero-shot learning
(1)
sensorimotor learning
(1)
maximum likelihood
(1)
sequential monte carlo
(1)
sparsity prior
(1)
model-based reinforcement learning
(1)
stochastic approximation
(1)
learning from demonstration
(1)
world model
(1)
proximal policy optimization
(1)
exploration strategy
(1)
on-policy learning
(1)
intrinsic reward
(1)
dynamics model
(1)
trajectory generation
(1)
partial state
(1)
causal graph
(1)
undirected graphical model
(1)
state prediction
(1)
Papers
Dynamic Sparsity: Challenging Common Sparsity Assumptions for Learning World Models in Robotic Reinforcement Learning Benchmarks
AAAI 2026
Colored Noise in PPO: Improved Exploration and Performance through Correlated Action Sampling
AAAI 2024
Regularity as Intrinsic Reward for Free Play
NeurIPS 2023
Conditional Neural Movement Primitives
RSS 2019
Decreasing Uncertainty in Planning with State Prediction
IJCAI 2017
Towards Maximum Likelihood: Learning Undirected Graphical Models using Persistent Sequential Monte Carlo
ACML 2014