Alex Open Research Wiki

Tag: control

56 items with this tag.

Aug 13, 2026
Kubernetes OTEL Control Gym
Aug 13, 2026
LLM Agents Need Action-Conditioned World Models
Aug 11, 2026
Probabilistic JEPA Predictor Using Flow Matching
Aug 07, 2026
Sensorimotor World Models
Aug 07, 2026
LeWorldModel: Stable End-To-End Joint-Embedding Predictive Architecture From Pixels
Aug 07, 2026
Sensorimotor World Models: Perception for Action via Inverse Dynamics
Aug 06, 2026
Fast LeWorldModel
Aug 06, 2026
Inverse Dynamics Regularization
Jul 28, 2026
Fast/Slow Thinking For Robotics And Time Series
Jul 21, 2026
Fast-LeWM
Jul 21, 2026
Temporal Straightening
Jul 21, 2026
Temporal Straightening for Latent Planning
Jul 15, 2026
AdaJEPA
Jul 15, 2026
SkyJEPA
Jul 15, 2026
AdaJEPA: An Adaptive Latent World Model
Jul 15, 2026
SkyJEPA: Learning Long-Horizon World Models for Zero-Shot Sim-to-Real Control of Quadrotors
Jul 12, 2026
VJEPA: Variational Joint Embedding Predictive Architectures as Probabilistic World Models
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
AI challenge for safe and low carbon power grid operation
Jun 14, 2026
Expert System for topological remedial action discovery in smart grids
Jun 14, 2026
Graph Neural Networks for Transmission Grid Topology Control: Busbar Information Asymmetry and Heterogeneous Representations
Jun 14, 2026
Power Grid Control with Graph-Based Distributed Reinforcement Learning
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
Interpretable Policy Distillation for Power Grid Topology Control
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
LLM-Guided Safe Reinforcement Learning for Energy System Topology Reconfiguration
Jun 14, 2026
Introducing machine learning for power system operation support
Jun 14, 2026
MARL2Grid-TR: A Multi-Agent RL Benchmark in Power Grid Operations
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
RL2Grid: Benchmarking Reinforcement Learning in Power Grid Operations
Jun 14, 2026
Hierarchical Reinforcement Learning with Runtime Safety Shielding for Power Grid Operation
Jun 14, 2026
Learning Topology Actions for Power Grid Control: A Graph-Based Soft-Label Imitation Learning Approach
Jun 14, 2026
RL for Mitigating Cascading Failures: Targeted Exploration via Sensitivity Factors
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 09, 2026
CityLearn
Jun 09, 2026
NeoRL-2
Jun 09, 2026
CityLearn
Jun 09, 2026
NeoRL-2
Jun 04, 2026
Kubernetes OTEL Control Minimal Demo
May 23, 2026
World Models: Recurrent World Models Facilitate Policy Evolution
May 18, 2026
Helix

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