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Bibliographic Details
Main Authors:	Feng, Jinyuan, Chen, Min, Pu, Zhiqiang, Qiu, Tenghai, Yi, Jianqiang
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence Robotics
Online Access:	https://arxiv.org/abs/2404.05950
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Prioritized League Reinforcement Learning for Large-Scale Heterogeneous Multiagent Systems
by: Fu, Qingxu, et al.
Published: (2024)

Measuring Policy Distance for Multi-Agent Reinforcement Learning
by: Hu, Tianyi, et al.
Published: (2024)

Self-Clustering Hierarchical Multi-Agent Reinforcement Learning with Extensible Cooperation Graph
by: Fu, Qingxu, et al.
Published: (2024)

Logical Specifications-guided Dynamic Task Sampling for Reinforcement Learning Agents
by: Shukla, Yash, et al.
Published: (2024)

Reinforcement Learning via Auxiliary Task Distillation
by: Harish, Abhinav Narayan, et al.
Published: (2024)

Mission-driven Exploration for Accelerated Deep Reinforcement Learning with Temporal Logic Task Specifications
by: Wang, Jun, et al.
Published: (2023)

Knowledge-Guided Manipulation Using Multi-Task Reinforcement Learning
by: Narendra, Aditya, et al.
Published: (2026)

Model-Based Reinforcement Learning with Multi-Task Offline Pretraining
by: Pan, Minting, et al.
Published: (2023)

TOPPO: Rethinking PPO for Multi-Task Reinforcement Learning with Critic Balancing
by: Li, Yuanpeng, et al.
Published: (2026)

Task-specific Subnetwork Discovery in Reinforcement Learning for Autonomous Underwater Navigation
by: Liu, Yi-Ling, et al.
Published: (2026)

Task Assignment and Exploration Optimization for Low Altitude UAV Rescue via Generative AI Enhanced Multi-agent Reinforcement Learning
by: Tang, Xin, et al.
Published: (2025)

UniVLA: Learning to Act Anywhere with Task-centric Latent Actions
by: Bu, Qingwen, et al.
Published: (2025)

Enhancing Robot Navigation Policies with Task-Specific Uncertainty Managements
by: Puthumanaillam, Gokul, et al.
Published: (2025)

PWM: Policy Learning with Multi-Task World Models
by: Georgiev, Ignat, et al.
Published: (2024)

Efficient Evaluation of Multi-Task Robot Policies With Active Experiment Selection
by: Anwar, Abrar, et al.
Published: (2025)

Sample Efficient Robot Learning in Supervised Effect Prediction Tasks
by: Eren, Mehmet Arda, et al.
Published: (2024)

Decoupled Action Expert: Confining Task Knowledge to the Conditioning Pathway
by: Zhou, Jian, et al.
Published: (2025)

Vintix: Action Model via In-Context Reinforcement Learning
by: Polubarov, Andrey, et al.
Published: (2025)

Memory, Benchmark & Robots: A Benchmark for Solving Complex Tasks with Reinforcement Learning
by: Cherepanov, Egor, et al.
Published: (2025)

DrS: Learning Reusable Dense Rewards for Multi-Stage Tasks
by: Mu, Tongzhou, et al.
Published: (2024)

Reinforcement Learning with Action Chunking
by: Li, Qiyang, et al.
Published: (2025)

ESP: Exploiting Symmetry Prior for Multi-Agent Reinforcement Learning
by: Yu, Xin, et al.
Published: (2023)

OmniDrones: An Efficient and Flexible Platform for Reinforcement Learning in Drone Control
by: Xu, Botian, et al.
Published: (2023)

Coarse-to-fine Q-Network with Action Sequence for Data-Efficient Reinforcement Learning
by: Seo, Younggyo, et al.
Published: (2024)

CoMoE: Contrastive Representation for Mixture-of-Experts in Parameter-Efficient Fine-tuning
by: Feng, Jinyuan, et al.
Published: (2025)

PRIME: Scaffolding Manipulation Tasks with Behavior Primitives for Data-Efficient Imitation Learning
by: Gao, Tian, et al.
Published: (2024)

Automating the Refinement of Reinforcement Learning Specifications
by: Ambadkar, Tanmay, et al.
Published: (2025)

Dual Action Policy for Robust Sim-to-Real Reinforcement Learning
by: Terence, Ng Wen Zheng, et al.
Published: (2024)

Scheduling Drone and Mobile Charger via Hybrid-Action Deep Reinforcement Learning
by: Dou, Jizhe, et al.
Published: (2024)

Heterogeneity in Multi-Agent Reinforcement Learning
by: Hu, Tianyi, et al.
Published: (2025)

Towards Interpretable Foundation Models of Robot Behavior: A Task Specific Policy Generation Approach
by: Sheidlower, Isaac, et al.
Published: (2024)

Equivariant Action Sampling for Reinforcement Learning and Planning
by: Zhao, Linfeng, et al.
Published: (2024)

Hybrid Action Based Reinforcement Learning for Multi-Objective Compatible Autonomous Driving
by: Jin, Guizhe, et al.
Published: (2025)

Offline Goal-Conditioned Reinforcement Learning for Safety-Critical Tasks with Recovery Policy
by: Cao, Chenyang, et al.
Published: (2024)

QMP: Q-switch Mixture of Policies for Multi-Task Behavior Sharing
by: Zhang, Grace, et al.
Published: (2023)

Jump-Start Reinforcement Learning with Vision-Language-Action Regularization
by: Moroncelli, Angelo, et al.
Published: (2026)

Variational OOD State Correction for Offline Reinforcement Learning
by: Jiang, Ke, et al.
Published: (2025)

Few-Shot Task Learning through Inverse Generative Modeling
by: Netanyahu, Aviv, et al.
Published: (2024)

Diffusion-Based Impedance Learning for Contact-Rich Manipulation Tasks
by: Geiger, Noah, et al.
Published: (2025)

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// Anecdotal testing Today and Yesterday seems to indicate destroy() // is called by the garbage collector and everything is good. // Something to keep in mind though. return 0; } /** * Write function that is called when session data is to be saved. * * @param string $sessId The current session ID * @param string $data The session data to write * * @return bool */ public function write($sessId, $data): bool { if ($this->writesDisabled) { return true; } return $this->saveSession($sessId, $data); } /** * A function that is called internally when session data is to be saved. * * @param string $sessId The current session ID * @param string $data The session data to write * * @return bool */ abstract protected function saveSession($sessId, $data): bool; }

* * @return void */ public function writeClose() { // The assumption is that we're using PHP's ext/session. // session_write_close() will actually overwrite $_SESSION with an // empty array on completion -- which leads to a mismatch between what // is in the storage object and $_SESSION. To get around this, we // temporarily reset $_SESSION to an array, and then re-link it to // the storage object. // // Additionally, while you _can_ write to $_SESSION following a // session_write_close() operation, no changes made to it will be // flushed to the session handler. As such, we now mark the storage // object isImmutable. $storage = $this->getStorage(); if (! $storage->isImmutable()) { $_SESSION = $storage->toArray(true); session_write_close(); $storage->fromArray($_SESSION); $storage->markImmutable(); } } /** * Attempt to set the session name * * If the session has already been started, or if the name provided fails * validation, an exception will be raised. * * @param string $name * @return SessionManager * @throws Exception\InvalidArgumentException */ public function setName($name) { if ($this->sessionExists()) { throw new Exception\InvalidArgumentException( 'Cannot set session name after a session has already started'

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