Copertina

Goal Kernel Planning: Linearly-Solvable Non-Markovian Policies for Logical Tasks with Goal-Conditioned Options

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Ringstrom, Thomas J., Hasanbeig, Mohammadhosein, Abate, Alessandro
Natura:	Preprint
Pubblicazione:	2020
Soggetti:	Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Proposing Hierarchical Goal-Conditioned Policy Planning in Multi-Goal Reinforcement Learning
di: Rens, Gavin B.
Pubblicazione: (2025)

On the Limitations of Markovian Rewards to Express Multi-Objective, Risk-Sensitive, and Modal Tasks
di: Skalse, Joar, et al.
Pubblicazione: (2024)

Hyper-GoalNet: Goal-Conditioned Manipulation Policy Learning with HyperNetworks
di: Zhou, Pei, et al.
Pubblicazione: (2025)

Backward Learning for Goal-Conditioned Policies
di: Höftmann, Marc, et al.
Pubblicazione: (2023)

Chain-of-Goals Hierarchical Policy for Long-Horizon Offline Goal-Conditioned RL
di: Choi, Jinwoo, et al.
Pubblicazione: (2026)

Human Goal Recognition as Bayesian Inference: Investigating the Impact of Actions, Timing, and Goal Solvability
di: Zhang, Chenyuan, et al.
Pubblicazione: (2024)

Option-aware Temporally Abstracted Value for Offline Goal-Conditioned Reinforcement Learning
di: Ahn, Hongjoon, et al.
Pubblicazione: (2025)

Self-Guided Plan Extraction for Instruction-Following Tasks with Goal-Conditional Reinforcement Learning
di: Volovikova, Zoya, et al.
Pubblicazione: (2026)

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

Offline Policy Learning via Skill-step Abstraction for Long-horizon Goal-Conditioned Tasks
di: Kim, Donghoon, et al.
Pubblicazione: (2024)

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

Goal-Conditioned Decision Transformer for Multi-Goal Offline Reinforcement Learning
di: Gajewski, Paweł, et al.
Pubblicazione: (2024)

Optimus-2: Multimodal Minecraft Agent with Goal-Observation-Action Conditioned Policy
di: Li, Zaijing, et al.
Pubblicazione: (2025)

General Dynamic Goal Recognition using Goal-Conditioned and Meta Reinforcement Learning
di: Elhadad, Osher, et al.
Pubblicazione: (2025)

Act2Goal: From World Model To General Goal-conditioned Policy
di: Zhou, Pengfei, et al.
Pubblicazione: (2025)

Planning as Descent: Goal-Conditioned Latent Trajectory Synthesis in Learned Energy Landscapes
di: García, Carlos Vélez, et al.
Pubblicazione: (2025)

Goal Exploration via Adaptive Skill Distribution for Goal-Conditioned Reinforcement Learning
di: Wu, Lisheng, et al.
Pubblicazione: (2024)

Planning without Search: Refining Frontier LLMs with Offline Goal-Conditioned RL
di: Hong, Joey, et al.
Pubblicazione: (2025)

Planner-Admissible Graph-PDE Value Extensions for Sparse Goal-Conditioned Planning
di: Zhang, Shiheng
Pubblicazione: (2026)

Incoherence in Goal-Conditioned Autoregressive Models
di: Karwowski, Jacek, et al.
Pubblicazione: (2025)

Goal-Space Planning with Subgoal Models
di: Lo, Chunlok, et al.
Pubblicazione: (2022)

Goal-Directed Search Outperforms Goal-Agnostic Memory Compression in Long-Context Memory Tasks
di: Zheng, Yicong, et al.
Pubblicazione: (2025)

Goal-Conditioned Agents that Learn Everything All at Once
di: Matthews, Michael, et al.
Pubblicazione: (2026)

Goal Force: Teaching Video Models To Accomplish Physics-Conditioned Goals
di: Gillman, Nate, et al.
Pubblicazione: (2026)

Goal Recognition via Linear Programming
di: Meneguzzi, Felipe, et al.
Pubblicazione: (2024)

Modeling Task Immersion based on Goal Activation Mechanism
di: Nagashima, Kazuma, et al.
Pubblicazione: (2024)

First-Order Representation Languages for Goal-Conditioned RL
di: Ståhlberg, Simon, et al.
Pubblicazione: (2025)

A Planning Compilation to Reason about Goal Achievement at Planning Time
di: Pozanco, Alberto, et al.
Pubblicazione: (2025)

GR-MG: Leveraging Partially Annotated Data via Multi-Modal Goal-Conditioned Policy
di: Li, Peiyan, et al.
Pubblicazione: (2024)

SculptDiff: Learning Robotic Clay Sculpting from Humans with Goal Conditioned Diffusion Policy
di: Bartsch, Alison, et al.
Pubblicazione: (2024)

Abstraction for Offline Goal-Conditioned Reinforcement Learning
di: Wibault, Clarisse, et al.
Pubblicazione: (2026)

OGBench: Benchmarking Offline Goal-Conditioned RL
di: Park, Seohong, et al.
Pubblicazione: (2024)

Accelerating Goal-Conditioned RL Algorithms and Research
di: Bortkiewicz, Michał, et al.
Pubblicazione: (2024)

A Unified Theory of Compositionality, Modularity, and Interpretability in Markov Decision Processes
di: Ringstrom, Thomas J., et al.
Pubblicazione: (2025)

DeepLTL: Learning to Efficiently Satisfy Complex LTL Specifications for Multi-Task RL
di: Jackermeier, Mathias, et al.
Pubblicazione: (2024)

Adaptation of Task Goal States from Prior Knowledge
di: Costinescu, Andrei, et al.
Pubblicazione: (2025)

Efficient Virtuoso: A Latent Diffusion Transformer Model for Goal-Conditioned Trajectory Planning
di: Guillen-Perez, Antonio
Pubblicazione: (2025)

Stitching Sub-Trajectories with Conditional Diffusion Model for Goal-Conditioned Offline RL
di: Kim, Sungyoon, et al.
Pubblicazione: (2024)

From Goal-Conditioned to Language-Conditioned Agents via Vision-Language Models
di: Cachet, Theo, et al.
Pubblicazione: (2024)

Instruction Following with Goal-Conditioned Reinforcement Learning in Virtual Environments
di: Volovikova, Zoya, et al.
Pubblicazione: (2024)