{"total":86,"rows":[{"id":"2202.07575","title":"Forecasting Global Weather with Graph Neural Networks","created":"2022-02-15","cited_by_count":168,"area":null},{"id":"2301.07608","title":"Human-Timescale Adaptation in an Open-Ended Task Space","created":"2023-01-18","cited_by_count":138,"area":null},{"id":"2208.01893","title":"Flow Annealed Importance Sampling Bootstrap","created":"2022-08-03","cited_by_count":127,"area":null},{"id":"2303.03982","title":"Structured State Space Models for In-Context Reinforcement Learning","created":"2023-03-07","cited_by_count":111,"area":"ssm"},{"id":"2210.05639","title":"Discovered Policy Optimisation","created":"2022-10-11","cited_by_count":104,"area":null},{"id":"2202.00817","title":"Do Differentiable Simulators Give Better Policy Gradients?","created":"2022-02-02","cited_by_count":89,"area":null},{"id":"2209.12892","title":"Learning to Learn with Generative Models of Neural Network Checkpoints","created":"2022-09-26","cited_by_count":86,"area":null},{"id":"2202.00665","title":"Tutorial on amortized optimization","created":"2022-02-01","cited_by_count":83,"area":null},{"id":"2404.10024","title":"ClimODE: Climate and Weather Forecasting with Physics-informed Neural ODEs","created":"2024-04-15","cited_by_count":82,"area":null},{"id":"2211.11260","title":"Discovering Evolution Strategies via Meta-Black-Box Optimization","created":"2022-11-21","cited_by_count":44,"area":null},{"id":"2212.04180","title":"evosax: JAX-based Evolution Strategies","created":"2022-12-08","cited_by_count":41,"area":null},{"id":"2205.12256","title":"Differentiable Dynamics for Articulated 3d Human Motion Reconstruction","created":"2022-05-24","cited_by_count":39,"area":null},{"id":"2403.14864","title":"Learning Quadruped Locomotion Using Differentiable Simulation","created":"2024-03-21","cited_by_count":32,"area":null},{"id":"2209.08466","title":"Simplifying Model-based RL: Learning Representations, Latent-space Models, and Policies with One Objective","created":"2022-09-18","cited_by_count":28,"area":null},{"id":"2208.13825","title":"Differentiable Programming for Earth System Modeling","created":"2022-08-29","cited_by_count":22,"area":null},{"id":"2209.13052","title":"Training Efficient Controllers via Analytic Policy Gradient","created":"2022-09-26","cited_by_count":22,"area":null},{"id":"2410.15979","title":"Learning Quadrotor Control From Visual Features Using Differentiable Simulation","created":"2024-10-21","cited_by_count":19,"area":"deeprl"},{"id":"2402.05828","title":"Discovering Temporally-Aware Reinforcement Learning Algorithms","created":"2024-02-08","cited_by_count":18,"area":"deeprl"},{"id":"2111.12187","title":"Input Convex Gradient Networks","created":"2021-11-23","cited_by_count":17,"area":null},{"id":"2210.03466","title":"Latent Neural ODEs with Sparse Bayesian Multiple Shooting","created":"2022-10-07","cited_by_count":17,"area":null},{"id":"2407.02466","title":"PWM: Policy Learning with Multi-Task World Models","created":"2024-07-02","cited_by_count":17,"area":"wm"},{"id":"2211.11030","title":"Adversarial Cheap Talk","created":"2022-11-20","cited_by_count":16,"area":null},{"id":"2212.01055","title":"Transformer-Based Learned Optimization","created":"2022-12-02","cited_by_count":13,"area":null},{"id":"2410.03076","title":"Residual Policy Learning for Perceptive Quadruped Control Using Differentiable Simulation","created":"2024-10-04","cited_by_count":13,"area":"deeprl"},{"id":"2408.15852","title":"chemtrain: Learning Deep Potential Models via Automatic Differentiation and Statistical Physics","created":"2024-08-28","cited_by_count":12,"area":null},{"id":"2603.15381","title":"Why AI systems don't learn and what to do about it: Lessons on autonomous learning from cognitive science","created":"2026-03-16","cited_by_count":11,"area":null},{"id":"2211.17263","title":"Plateau-reduced Differentiable Path Tracing","created":"2022-11-30","cited_by_count":10,"area":null},{"id":"2402.05290","title":"Do Transformer World Models Give Better Policy Gradients?","created":"2024-02-07","cited_by_count":10,"area":"wm"},{"id":"2301.03480","title":"Differentiable Simulations for Enhanced Sampling of Rare Events","created":"2023-01-09","cited_by_count":8,"area":null},{"id":"2310.15418","title":"Fractal Landscapes in Policy Optimization","created":"2023-10-24","cited_by_count":8,"area":null},{"id":"2312.08710","title":"Gradient Informed Proximal Policy Optimization","created":"2023-12-14","cited_by_count":8,"area":null},{"id":"2304.11153","title":"Low-Variance Gradient Estimation in Unrolled Computation Graphs with ES-Single","created":"2023-04-21","cited_by_count":7,"area":null},{"id":"2310.19927","title":"Model-Based Reparameterization Policy Gradient Methods: Theory and Practical Algorithms","created":"2023-10-30","cited_by_count":7,"area":null},{"id":"2312.04574","title":"Differentiable Visual Computing for Inverse Problems and Machine Learning","created":"2023-11-21","cited_by_count":7,"area":null},{"id":"2507.11019","title":"Relative Entropy Pathwise Policy Optimization","created":"2025-07-15","cited_by_count":7,"area":"deeprl"},{"id":"2208.08798","title":"Neural Payoff Machines: Predicting Fair and Stable Payoff Allocations Among Team Members","created":"2022-08-18","cited_by_count":6,"area":null},{"id":"2304.12180","title":"Variance-Reduced Gradient Estimation via Noise-Reuse in Online Evolution Strategies","created":"2023-04-21","cited_by_count":5,"area":null},{"id":"2308.05739","title":"Zero Grads: Learning Local Surrogate Losses for Non-Differentiable Graphics","created":"2023-08-10","cited_by_count":5,"area":null},{"id":"2406.15042","title":"Behaviour Distillation","created":"2024-06-21","cited_by_count":5,"area":null},{"id":"2505.10646","title":"Accelerating Visual-Policy Learning through Parallel Differentiable Simulation","created":"2025-05-15","cited_by_count":5,"area":"deeprl"},{"id":"2507.17668","title":"How Should We Meta-Learn Reinforcement Learning Algorithms?","created":"2025-07-23","cited_by_count":5,"area":"deeprl"},{"id":"2509.00215","title":"First Order Model-Based RL through Decoupled Backpropagation","created":"2025-08-29","cited_by_count":5,"area":"deeprl"},{"id":"2509.19658","title":"RoboSSM: Scalable In-context Imitation Learning via State-Space Models","created":"2025-09-24","cited_by_count":5,"area":"offlinerl"},{"id":"2203.02857","title":"Leveraging Reward Gradients For Reinforcement Learning in Differentiable Physics Simulations","created":"2022-03-06","cited_by_count":4,"area":null},{"id":"2209.07679","title":"Learning Pair Potentials using Differentiable Simulations","created":"2022-09-16","cited_by_count":4,"area":null},{"id":"2303.09478","title":"Arbitrary Order Meta-Learning with Simple Population-Based Evolution","created":"2023-03-16","cited_by_count":4,"area":null},{"id":"2311.02394","title":"NeuroEvoBench: Benchmarking Evolutionary Optimizers for Deep Learning Applications","created":"2023-11-04","cited_by_count":4,"area":null},{"id":"2402.07875","title":"Implicit Bias of Policy Gradient in Linear Quadratic Control: Extrapolation to Unseen Initial States","created":"2024-02-12","cited_by_count":4,"area":"deeprl"},{"id":"2211.15596","title":"A survey of deep learning optimizers -- first and second order methods","created":"2022-11-28","cited_by_count":3,"area":null},{"id":"2304.04664","title":"Inductive biases in deep learning models for weather prediction","created":"2023-04-06","cited_by_count":3,"area":null},{"id":"2307.04110","title":"Learning Space-Time Continuous Neural PDEs from Partially Observed States","created":"2023-07-09","cited_by_count":3,"area":null},{"id":"2405.02041","title":"Stabilizing Backpropagation Through Time to Learn Complex Physics","created":"2024-05-03","cited_by_count":3,"area":null},{"id":"2408.09310","title":"Narrowing the Focus: Learned Optimizers for Pretrained Models","created":"2024-08-17","cited_by_count":3,"area":null},{"id":"2412.11138","title":"Safe Reinforcement Learning using Finite-Horizon Gradient-based Estimation","created":"2024-12-15","cited_by_count":3,"area":"deeprl"},{"id":"2604.00904","title":"Fatigue-Aware Learning to Defer via Constrained Optimisation","created":"2026-04-01","cited_by_count":3,"area":null},{"id":"2201.10122","title":"Analytically Integratable Zero-restlength Springs for Capturing Dynamic Modes unrepresented by Quasistatic Neural Networks","created":"2022-01-25","cited_by_count":2,"area":null},{"id":"2205.07408","title":"Training neural networks using Metropolis Monte Carlo and an adaptive variant","created":"2022-05-16","cited_by_count":2,"area":null},{"id":"2307.05735","title":"Effective Latent Differential Equation Models via Attention and Multiple Shooting","created":"2023-07-11","cited_by_count":2,"area":null},{"id":"2404.12625","title":"SkelFormer: Markerless 3D Pose and Shape Estimation using Skeletal Transformers","created":"2024-04-19","cited_by_count":2,"area":null},{"id":"2405.17832","title":"Mollification Effects of Policy Gradient Methods","created":"2024-05-28","cited_by_count":2,"area":"deeprl"},{"id":"2301.08830","title":"ApproxED: Approximate exploitability descent via learned best responses","created":"2023-01-20","cited_by_count":1,"area":null},{"id":"2311.10468","title":"Using Cooperative Game Theory to Prune Neural Networks","created":"2023-11-17","cited_by_count":1,"area":null},{"id":"2406.07785","title":"From Variance to Veracity: Unbundling and Mitigating Gradient Variance in Differentiable Bundle Adjustment Layers","created":"2024-06-12","cited_by_count":1,"area":null},{"id":"2409.07965","title":"Autonomous Vehicle Controllers From End-to-End Differentiable Simulation","created":"2024-09-12","cited_by_count":1,"area":"driving"},{"id":"2503.21931","title":"Locally Orderless Images for Optimization in Differentiable Rendering","created":"2025-03-27","cited_by_count":1,"area":null},{"id":"2506.01167","title":"Accelerated Learning with Linear Temporal Logic using Differentiable Simulation","created":"2025-06-01","cited_by_count":1,"area":"deeprl"},{"id":"2508.06214","title":"Reparameterization Proximal Policy Optimization","created":"2025-08-08","cited_by_count":1,"area":"deeprl"},{"id":"2608.08559","title":"Differentiate the Solver, Not the Equation: Reverse-Sweep Adjoints for Block Implicit Simulation","created":"2026-08-09","cited_by_count":1,"area":null},{"id":"2202.06316","title":"Reverse Back Propagation to Make Full Use of Derivative","created":"2022-02-13","cited_by_count":0,"area":null},{"id":"2304.13540","title":"Byzantine-Resilient Learning Beyond Gradients: Distributing Evolutionary Search","created":"2023-04-20","cited_by_count":0,"area":null},{"id":"2305.16823","title":"HUB: Guiding Learned Optimizers with Continuous Prompt Tuning","created":"2023-05-26","cited_by_count":0,"area":null},{"id":"2306.12413","title":"Addressing Discontinuous Root-Finding for Subsequent Differentiability in Machine Learning, Inverse Problems, and Control","created":"2023-06-21","cited_by_count":0,"area":null},{"id":"2307.08168","title":"Enabling Efficient, Reliable Real-World Reinforcement Learning with Approximate Physics-Based Models","created":"2023-07-16","cited_by_count":0,"area":null},{"id":"2308.12075","title":"Stabilizing RNN Gradients through Pre-training","created":"2023-08-23","cited_by_count":0,"area":null},{"id":"2404.07361","title":"Gradient Networks","created":"2024-04-10","cited_by_count":0,"area":null},{"id":"2406.08687","title":"AlphaZeroES: Direct score maximization outperforms planning loss minimization","created":"2024-06-12","cited_by_count":0,"area":null},{"id":"2508.11090","title":"Compressive Meta-Learning","created":"2025-08-14","cited_by_count":0,"area":null},{"id":"2603.27317","title":"Where-to-Learn: Analytical Policy Gradient Directed Exploration for On-Policy Robotic Reinforcement Learning","created":"2026-03-28","cited_by_count":0,"area":"deeprl"},{"id":"2607.00215","title":"ELMP: Efficient Learning for Motion Planning via Analytical Policy Gradients","created":"2026-06-30","cited_by_count":0,"area":"deeprl"},{"id":"2609.08800","title":"Ostrich: Taking Large Strides Through Stiff Contact in Differentiable Dynamics","created":"2026-09-08","cited_by_count":0,"area":null},{"id":"2609.12528","title":"Optimizing Geoengineering Interventions Using Differentiable Climate Models","created":"2026-09-11","cited_by_count":0,"area":null},{"id":"2609.20575","title":"Accelerating Visual Policy Learning with Sampling-Based Model Predictive Control","created":"2026-09-17","cited_by_count":0,"area":null},{"id":"2609.21758","title":"Bilevel Optimization of Topology and Hyperparameters (BOTH)","created":"2026-09-18","cited_by_count":0,"area":null},{"id":"2609.31363","title":"Brenier Meets Adversarial Training: Optimal Transport Geometry for Robust Learning","created":"2026-09-25","cited_by_count":0,"area":null},{"id":"2609.33169","title":"When Does Backpropagating Through Policy Memory Matter? Physical Credit, Optimizer Updates, and Observability","created":"2026-09-27","cited_by_count":0,"area":null},{"id":"2609.37944","title":"Identifiability Guarantees for Drivers and Dynamics of Delayed Physical Systems","created":"2026-09-29","cited_by_count":0,"area":null}],"next_cursor":null}