Neural Policies

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4 papers in the last four weeks, with none the four weeks before. 0.0% of all new papers.

Jul 13Week of Sep 28

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Reward as Observation: Learning Reward-Based Policies for Rapid Adaptation
Sep 30, 2026Morgan Byrd, Maks Sorokin, Robert Wright +1Neural Policies Rapid Adaptation
Georgia Institute of Technology, Atlanta, GA, 30308, USA · Georgia Tech Research Institute, Atlanta, GA, 30308, USA
Depot-Closed Multi-Component Construction for Neural Vehicle Routing
Sep 28, 2026Shinichiro Hamada, Hisashi KashimaVehicle Routing Problem Neural Combinatorial Optimization
Core Technology, R&D Division Panasonic Connect Co., Ltd. · Graduate School of Informatics Kyoto University
Mixed-Integer Nonlinear Differentiable Predictive Control for Underground Pumped Hydro Energy Storage Systems
Sep 16, 2026Honghui Zheng, Ján Boldocký, Yury Dvorkin +1Model Predictive Control Neural Policies
Johns Hopkins University, Baltimore MD, US · Slovak University of Technology in Bratislava, Slovakia
Feedback-Modulated Harmonic Policies for Quadruped Locomotion
Sep 16, 2026Yixuan Jia, Steven Roche, Jonathan P. HowLocomotion Robust Control
Massachusetts Institute of Technology, Cambridge, MA 02319 USA
SpikingNav: Robust Embodied Navigation with Spiking Neural Policies
Aug 5, 2026Jiahong Zhang, Sijun Shen, Dehua Wu +5Spiking Neural Networks Neuromorphic Computing
Institute of Automation, Chinese Academy of Sciences, Beijing 100045, China · School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, China · State Key Laboratory of Media Convergence and Communication, Communication University of China, Beijing 100024, China +2
Belief-Guided Decision Making with Uncertainty Gating in the Game of Go
Jul 29, 2026Mehrad Yaghoubi, Azam Bastanfard, Abbas Jalilvand +1Monte Carlo Tree Search Chess
Department of Computer Engineering, Ka.C, Islamic Azad University, Karaj, Iran
PRISM: Polynomial Representations for Interaction-Structured Motor Control
Jul 26, 2026Seung Hyun Lee, Stella X. YuNeural Policies Motion Control
University of Michigan, Ann Arbor Computer Science and Engineering
NSMA: Neuro-Symbolic Manifold Alignment for Generalizable Adaptive Bitrate Streaming under Texture Shift
Jul 21, 2026Zhiqiang He, Zhi LiuNeural Policies Manifolds
The University of Electro-Communications Tokyo, Japan
Two Black Boxes, One Solver: Encoder Probing and Decoder Attribution for Neural Multi-Attribute VRP under Hard-Mask and Recourse Decoders
Jul 5, 2026Sohaib AfifiVehicle Routing Problem Neural Solvers
Univ. Artois, UR 3926, Laboratoire de G´enie Informatique et d’Automatique de l’Artois (LGI2A), F-62400 B´ethune, France
ShardNet: Training Neural Controllers with Hard, Non-Convex Constraints
Jun 29, 2026Long Kiu Chung, Shreyas KousikSafety Constraints Learning-Based Control
Department of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA.
Inference-Time Robot Behavior Steering through Physically-Aware Reconfiguration of Task-Structure
Jun 25, 2026Yiyuan Pan, Hanjiang Hu, Shangtao Li +2Robot Policies Inference-Time Steering
Robotics Institute, Carnegie Mellon University, Pittsburgh, PA 15213, USA
Learning to Place Guards by Reinforcement: A Geo-Free Neural Policy for the Vertex-Guard Art Gallery Problem
Jun 19, 2026Domagoj Ševerdija, Jurica Maltar, Nathan Chappel +1Neural Combinatorial Optimization Neural Policies
School of Applied Mathematics and Informatics, University J. J. Strossmayer of Osijek, Croatia
Heterogeneous Policy Networks for Composite Robot Team Communication and Coordination
Jun 18, 2026Esmaeil Seraj, Rohan Paleja, Luis Pimentel +7Multi-Agent Reinforcement Learning Heterogeneous Robot Teams
Georgia Institute of Technology · Carnegie Mellon University · Sandia National Laboratories
MirrorDuo: Reflection-Consistent Visuomotor Learning from Mirrored Demonstration Pairs
Jun 18, 2026Zheyu Zhuang, Ruiyu Wang, Giovanni Luca Marchetti +2Behavior Cloning Visuomotor Control
Division of Robotics, Perception and Learning, KTH Royal Institute of Technology, Stockholm, Sweden · Department of Mathematics, KTH Royal Institute of Technology, Stockholm, Sweden
Machine-Coached Policy Revision in Adaptive Agent-Based Regulatory Simulation: A Controller-Level Contestability Layer
Jun 15, 2026Roberto GarroneAgent-Based Model Regulation
Open University of Cyprus
Implicit Neural Representations of Individual Behavior
Jun 10, 2026Andrew Kang, Priya NarasimhanNeural Policies Neural Representations
Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, USA.
DLO-Lab: Benchmarking Deformable Linear Object Manipulations with Differentiable Physics
Jun 2, 2026Junyi Cao, Yian Wang, Ziyan Xiong +3Deformable Linear Objects Robot Systems
University of Massachusetts Amherst
Learning with Foresight: Enhancing Neural Routing Policy via Multi-Node Lookahead Prediction
May 19, 2026Xia Jiang, Yaoxin Wu, Yew-Soon Ong +1Neural Policies Long-Horizon Planning
Eindhoven University of Technology · Nanyang Technological University · Agency for Science, Technology and Research (A*STAR)
Learning Bilevel Policies over Symbolic World Models for Long-Horizon Planning
May 15, 2026Dillon Z. Chen, Till Hofmann, Toryn Q. Klassen +1Long-Horizon Planning Imitation Learning
1Vector Institute · University of Toronto · 3LAAS-CNRS +2
Distributed Zeroth-Order Policy Gradient for Networked Multi-agent Reinforcement Learning from Human Feedback
May 15, 2026Pengcheng Dai, He Wang, Dongming Wang +2Multi-Agent Reinforcement Learning Reinforcement Learning From Human Feedback
Singapore University of Technology and Design, Singapore 487372, Singapore · Southeast University, Nanjing 211189, China · University of California, Riverside, CA 92521, USA +2
Probabilistic Verification of Recurrent Neural Networks for Single and Multi-Agent Reinforcement Learning
May 14, 2026Luca Marzari, Enrico MarchesiniReinforcement Learning With Verifiable Reward Neural Policies
1TU Wien, Vienna, Austria · 2Massachusetts Institute of Technology, Cambridge (MA), USA
Causal Explanations from the Geometric Properties of ReLU Neural Networks
May 11, 2026Hector Woods, Philippa Ryan, Rob AlexanderRectified Linear Unit Networks Causal
Department of Computer Science University of York York, United Kingdom
PMCTS: Principled Parallelized Inference Time Scaling with Particle Monte Carlo Tree Search
May 9, 2026Yaniv Oren, Viliam Vadocz, Joery A. de Vries +3Monte Carlo Tree Search Monte Carlo
Department of Intelligent Systems, TU Delft · Centrum Wiskunde & Informatica, Amsterdam · Department of Computer Science, ETH Zürich +2
ATRS: Adaptive Trajectory Re-splitting via a Shared Neural Policy for Parallel Optimization
Apr 24, 2026Jiajun Yu, Guodong Liu, Li Wang +6Robust Trajectory Alternating Direction Method Of Multiplier
RN-D: Discretized Categorical Actors for On-Policy Reinforcement Learning
Jan 30, 2026Yuexin Bian, Jie Feng, Tao Wang +3Soft Actor-Critic Neural Policies
University of California San Diego, La Jolla, USA
Neural Particle Automata: Learning Self-Organizing Particle Dynamics
Jan 22, 2026Hyunsoo Kim, Ehsan Pajouheshgar, Sabine Süsstrunk +2Neural Cellular Automata Particle Dynamics
KAIST, South Korea · EPFL, Switzerland
Survival Dynamics of Neural and Programmatic Policies in Evolutionary Reinforcement Learning
Jan 7, 2026Anton Roupassov-Ruiz, Yiyang ZuoNeural Policies On-Policy Self-Evolution
Department of Computing Science University of Alberta Edmonton, Alberta, T6G 2E8, Canada
Policy Gradient with Self-Attention for Model-Free Distributed Nonlinear Multi-Agent Games
Sep 22, 2025Eduardo Sebastián, Maitrayee Keskar, Eeman Iqbal +3Multi-Agent Reinforcement Learning Policy Gradient
Department of Computer Science and Technology, University of Cambridge, UK · Department of Electrical and Computer Engineering, University of California San Diego, USA · RoPeRt group, at DIIS - I3A, Universidad de Zaragoza, Spain
Sequential Cohort Selection under Uncertainty
Aug 22, 2025Hortence Yiepnou, Christos DimitrakakisAlgorithmic Fairness Covariate Shift
University of Neuch atel
Instance-Conditioned Adaptation for Large-scale Generalization of Neural Routing Solver
May 3, 2024Changliang Zhou, Xi Lin, Zhenkun Wang +3Vehicle Routing Problem Intelligent Transportation
Guangdong Provincial Key Laboratory of Fully Actuated System Control Theory and Technology, School of Automation and Intelligent Manufacturing, Southern University of Science and Technology, Shenzhen 518055, China · School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an 710049, China · Huawei Noah’s Ark Lab, Hong Kong SAR, China +1

Sep 30, 2026, cs.LGJ/K move · Enter open · S save

Reward as Observation: Learning Reward-Based Policies for Rapid Adaptation

Morgan Byrd, Maks Sorokin, Robert Wright, Sehoon Ha

Georgia Institute of Technology, Atlanta, GA, 30308, USA · Georgia Tech Research Institute, Atlanta, GA, 30308, USA

Neural Policies Rapid Adaptation

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This paper explores a reward-based policy to achieve zero-shot transfer between source and target environments with completely different observation spaces. While humans can demonstrate impressive adaptation capabilities, deep neural network policies often struggle to adapt to a new environment and require a considerable amount of samples for successful transfer. Instead, we propose a novel reward-based policy only conditioned on rewards and actions, enabling zero-shot adaptation to new environments with completely different observations. We discuss the challenges and feasibility of a reward-based policy and then propose a practical algorithm for training. We demonstrate that a reward policy can be trained within three different environments, Pointmass, Cartpole, and 2D Car Racing, and transferred to completely different observations, such as different color palettes or 3D rendering, or Stretch robot navigation in Habitat-Sim, in a zero-shot manner. We also demonstrate that a reward-based policy can further guide the training of an observation-based policy in the target environment.

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