Alex Open Research Wiki

Tag: world-models

86 items with this tag.

Jul 13, 2026
OTF-LAM
Jul 13, 2026
Latent Actions from Factorized Transition Effects under Agent Ambiguity
Jul 13, 2026
Action-Conditioned Time-Series Datasets
Jul 13, 2026
Foundation Time-Series Model Research Agenda
Jul 13, 2026
Latent Action Models
Jul 13, 2026
Robotics Time-Series Modeling
Jul 13, 2026
World Models
- world-models
- planning
Jul 12, 2026
Probabilistic JEPA Predictor Using Flow Matching
Jul 10, 2026
Latent-State Time-Series Modeling
Jul 02, 2026
NextLat
Jul 01, 2026
AdaJEPA
Jul 01, 2026
Sensorimotor World Models
Jul 01, 2026
AdaJEPA: An Adaptive Latent World Model
Jul 01, 2026
Sensorimotor World Models: Perception for Action via Inverse Dynamics
Jun 30, 2026
Hierarchical Modeling with a Fixed FLOPs Budget
Jun 25, 2026
SkyJEPA
Jun 25, 2026
SkyJEPA: Learning Long-Horizon World Models for Zero-Shot Sim-to-Real Control of Quadrotors
Jun 23, 2026
Agentic Automata Learning
Jun 23, 2026
Kubernetes OTEL Control Gym
Jun 23, 2026
LLM Agents Need Action-Conditioned World Models
Jun 23, 2026
Can LLM Agents Infer World Models? Evidence from Agentic Automata Learning
Jun 23, 2026
Next-Latent Prediction Transformers Learn Compact World Models
Jun 23, 2026
Digital World Models
Jun 23, 2026
Graph Structure As Transformer Context
Jun 22, 2026
Topological Neural Operators
Jun 20, 2026
Looped World Models (LoopWM)
Jun 20, 2026
Looped World Models
Jun 20, 2026
Fast/Slow Thinking For Robotics And Time Series
Jun 15, 2026
MarS
Jun 15, 2026
MarS: a Financial Market Simulation Engine Powered by Generative Foundation Model
Jun 14, 2026
L2RPN / Grid2Op
Jun 14, 2026
Active Power Correction Strategies Based on Deep Reinforcement Learning--Part II: A Distributed Solution for Adaptability
Jun 14, 2026
Adversarial Training for a Continuous Robustness Control Problem in Power Systems
Jun 14, 2026
Expert System for topological remedial action discovery in smart grids
Jun 14, 2026
Physics Informed Reinforcement Learning with Gibbs Priors for Topology Control in Power Grids
Jun 14, 2026
Graph Neural Solver for Power Systems
Jun 14, 2026
Graph Reinforcement Learning for Power Grids: A Comprehensive Survey
Jun 14, 2026
Exploring grid topology reconfiguration using a simple deep reinforcement learning approach
Jun 14, 2026
Fast Power system security analysis with Guided Dropout
Jun 14, 2026
Guided Machine Learning for power grid segmentation
Jun 14, 2026
Learning to run a Power Network Challenge: a Retrospective Analysis
Jun 14, 2026
Learning to run a power network challenge for training topology controllers
Jun 14, 2026
LEAP nets for power grid perturbations
Jun 14, 2026
LEAP Nets for System Identification and Application to Power Systems
Jun 14, 2026
AI-Based Autonomous Line Flow Control via Topology Adjustment for Maximizing Time-Series ATCs
Jun 14, 2026
Introducing machine learning for power system operation support
Jun 14, 2026
Neural Networks for Power Flow: Graph Neural Solver
Jun 14, 2026
Power Grid Congestion Management via Topology Optimization with AlphaZero
Jun 14, 2026
Anticipating contingengies in power grids using fast neural net screening
Jun 14, 2026
Optimization of computational budget for power system risk assessment
Jun 14, 2026
Hierarchical Reinforcement Learning with Runtime Safety Shielding for Power Grid Operation
Jun 14, 2026
Learning to Run a Power Network under Varying Grid Topology
Jun 14, 2026
Winning the L2RPN Challenge: Power Grid Management via Semi-Markov Afterstate Actor-Critic
Jun 14, 2026
A World Model Based Reinforcement Learning Architecture for Autonomous Power System Control
Jun 13, 2026
Agentic World Modeling: Foundations, Capabilities, Laws, and Beyond
Jun 13, 2026
Awesome Agentic Time Series
Jun 12, 2026
VLA-JEPA
Jun 12, 2026
AI Must Embrace Specialization via Superhuman Adaptable Intelligence
Jun 12, 2026
VLA-JEPA: Enhancing Vision-Language-Action Model with Latent World Model
Jun 12, 2026
AI North-Star Terminology
Jun 09, 2026
NeoRL-2
Jun 09, 2026
NeoRL-2
Jun 04, 2026
Kubernetes OTEL Control Minimal Demo
Jun 04, 2026
On Training in Imagination
Jun 04, 2026
World Model for Robot Learning: A Comprehensive Survey
Jun 04, 2026
Terminology
May 29, 2026
The Dragon Hatchling: The Missing Link between the Transformer and Models of the Brain
May 28, 2026
stable-worldmodel
May 28, 2026
LeWorldModel: Stable End-To-End Joint-Embedding Predictive Architecture From Pixels
May 28, 2026
stable-worldmodel: A Platform for Reproducible World Modeling Research and Evaluation
May 27, 2026
When Does LeJEPA Learn a World Model?
May 25, 2026
Genie
May 25, 2026
Genie: Generative Interactive Environments
May 24, 2026
Code World Model
May 24, 2026
CWM: An Open-Weights LLM for Research on Code Generation with World Models
May 23, 2026
World Models: Recurrent World Models Facilitate Policy Evolution
May 22, 2026
RAEv2
May 22, 2026
Improved Baselines with Representation Autoencoders
May 20, 2026
Pure Transformers are Powerful Graph Learners
May 18, 2026
Beyond Language Modeling: An Exploration of Multimodal Pretraining
May 18, 2026
D4RL: Datasets for Deep Data-Driven Reinforcement Learning
May 18, 2026
Joint Embedding Predictive Architectures Focus on Slow Features
May 18, 2026
A Path Towards Autonomous Machine Intelligence
May 18, 2026
π0.7: a Steerable Generalist Robotic Foundation Model with Emergent Capabilities
May 18, 2026
Reconstruction Or Semantics? What Makes A Latent Space Useful For Robotic World Models
May 18, 2026
RL Unplugged: A Suite of Benchmarks for Offline Reinforcement Learning

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