Task Tokens: A Flexible Approach to Adapting Behavior Foundation Models
Fuente:
arXiv
Saved in:
| Main Authors: | Vainshtein, Ron, Rimon, Zohar, Mannor, Shie, Tessler, Chen |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Meta Reinforcement Learning with Finite Training Tasks -- a Density Estimation Approach
by: Rimon, Zohar, et al.
Published: (2022)
by: Rimon, Zohar, et al.
Published: (2022)
Learning Multiple Initial Solutions to Optimization Problems
by: Sharony, Elad, et al.
Published: (2024)
by: Sharony, Elad, et al.
Published: (2024)
Improving Token-Based World Models with Parallel Observation Prediction
by: Cohen, Lior, et al.
Published: (2024)
by: Cohen, Lior, et al.
Published: (2024)
Towards Interpretable Foundation Models of Robot Behavior: A Task Specific Policy Generation Approach
by: Sheidlower, Isaac, et al.
Published: (2024)
by: Sheidlower, Isaac, et al.
Published: (2024)
MinMaxMin $Q$-learning
by: Soffair, Nitsan, et al.
Published: (2024)
by: Soffair, Nitsan, et al.
Published: (2024)
Conservative DDPG -- Pessimistic RL without Ensemble
by: Soffair, Nitsan, et al.
Published: (2024)
by: Soffair, Nitsan, et al.
Published: (2024)
PlaMo: Plan and Move in Rich 3D Physical Environments
by: Hallak, Assaf, et al.
Published: (2024)
by: Hallak, Assaf, et al.
Published: (2024)
Representative Action Selection for Large Action Space: From Bandits to MDPs
by: Zhou, Quan, et al.
Published: (2025)
by: Zhou, Quan, et al.
Published: (2025)
Controlling False Discovery in Arbitrarily Structured Hypothesis Spaces via Reproducing Kernels
by: Perets, Binyamin, et al.
Published: (2026)
by: Perets, Binyamin, et al.
Published: (2026)
Adapt On-the-Go: Behavior Modulation for Single-Life Robot Deployment
by: Chen, Annie S., et al.
Published: (2023)
by: Chen, Annie S., et al.
Published: (2023)
Sobolev Space Regularised Pre Density Models
by: Kozdoba, Mark, et al.
Published: (2023)
by: Kozdoba, Mark, et al.
Published: (2023)
Efficient Fairness-Performance Pareto Front Computation
by: Kozdoba, Mark, et al.
Published: (2024)
by: Kozdoba, Mark, et al.
Published: (2024)
The Value of Mechanistic Priors in Sequential Decision Making
by: Shufaro, Itai, et al.
Published: (2026)
by: Shufaro, Itai, et al.
Published: (2026)
Solving New Tasks by Adapting Internet Video Knowledge
by: Luo, Calvin, et al.
Published: (2025)
by: Luo, Calvin, et al.
Published: (2025)
Adapting Skills to Novel Grasps: A Self-Supervised Approach
by: Papagiannis, Georgios, et al.
Published: (2024)
by: Papagiannis, Georgios, et al.
Published: (2024)
Representation-Driven Reinforcement Learning
by: Nabati, Ofir, et al.
Published: (2023)
by: Nabati, Ofir, et al.
Published: (2023)
Fast Adaptation with Behavioral Foundation Models
by: Sikchi, Harshit, et al.
Published: (2025)
by: Sikchi, Harshit, et al.
Published: (2025)
Representative Action Selection for Large Action Space Bandit Families
by: Zhou, Quan, et al.
Published: (2025)
by: Zhou, Quan, et al.
Published: (2025)
Implementing Reinforcement Learning Datacenter Congestion Control in NVIDIA NICs
by: Fuhrer, Benjamin, et al.
Published: (2022)
by: Fuhrer, Benjamin, et al.
Published: (2022)
MAMBA: an Effective World Model Approach for Meta-Reinforcement Learning
by: Rimon, Zohar, et al.
Published: (2024)
by: Rimon, Zohar, et al.
Published: (2024)
A Classification View on Meta Learning Bandits
by: Mutti, Mirco, et al.
Published: (2025)
by: Mutti, Mirco, et al.
Published: (2025)
Spectral Bellman Method: Unifying Representation and Exploration in RL
by: Nabati, Ofir, et al.
Published: (2025)
by: Nabati, Ofir, et al.
Published: (2025)
On Bits and Bandits: Quantifying the Regret-Information Trade-off
by: Shufaro, Itai, et al.
Published: (2024)
by: Shufaro, Itai, et al.
Published: (2024)
Decoupling Task and Behavior: A Two-Stage Reward Curriculum in Reinforcement Learning for Robotics
by: Freitag, Kilian, et al.
Published: (2026)
by: Freitag, Kilian, et al.
Published: (2026)
Adaptable Recovery Behaviors in Robotics: A Behavior Trees and Motion Generators(BTMG) Approach for Failure Management
by: Ahmad, Faseeh, et al.
Published: (2024)
by: Ahmad, Faseeh, et al.
Published: (2024)
Reducing Robotic Upper-Limb Assessment Time While Maintaining Precision: A Time Series Foundation Model Approach
by: Akbarifar, Faranak, et al.
Published: (2025)
by: Akbarifar, Faranak, et al.
Published: (2025)
Horizon Imagination: Efficient On-Policy Rollout in Diffusion World Models
by: Cohen, Lior, et al.
Published: (2026)
by: Cohen, Lior, et al.
Published: (2026)
Rethinking Latent Redundancy in Behavior Cloning: An Information Bottleneck Approach for Robot Manipulation
by: Bai, Shuanghao, et al.
Published: (2025)
by: Bai, Shuanghao, et al.
Published: (2025)
Trajeglish: Traffic Modeling as Next-Token Prediction
by: Philion, Jonah, et al.
Published: (2023)
by: Philion, Jonah, et al.
Published: (2023)
Regularized Latent Dynamics Prediction is a Strong Baseline For Behavioral Foundation Models
by: Jajoo, Pranaya, et al.
Published: (2026)
by: Jajoo, Pranaya, et al.
Published: (2026)
Towards Natural Language-Driven Assembly Using Foundation Models
by: Joglekar, Omkar, et al.
Published: (2024)
by: Joglekar, Omkar, et al.
Published: (2024)
BEAC: Imitating Complex Exploration and Task-oriented Behaviors for Invisible Object Nonprehensile Manipulation
by: Tahara, Hirotaka, et al.
Published: (2025)
by: Tahara, Hirotaka, et al.
Published: (2025)
VLN-Cache: Enabling Token Caching for VLN Models with Visual/Semantic Dynamics Awareness
by: Zheng, Zihao, et al.
Published: (2026)
by: Zheng, Zihao, et al.
Published: (2026)
RL-RC-DoT: A Block-level RL agent for Task-Aware Video Compression
by: Gadot, Uri, et al.
Published: (2025)
by: Gadot, Uri, et al.
Published: (2025)
Tree Search-Based Policy Optimization under Stochastic Execution Delay
by: Valensi, David, et al.
Published: (2024)
by: Valensi, David, et al.
Published: (2024)
Self-Improving Embodied Foundation Models
by: Ghasemipour, Seyed Kamyar Seyed, et al.
Published: (2025)
by: Ghasemipour, Seyed Kamyar Seyed, et al.
Published: (2025)
Foundation Models for Rapid Autonomy Validation
by: Farid, Alec, et al.
Published: (2024)
by: Farid, Alec, et al.
Published: (2024)
Improving Inverse Folding for Peptide Design with Diversity-regularized Direct Preference Optimization
by: Park, Ryan, et al.
Published: (2024)
by: Park, Ryan, et al.
Published: (2024)
FAST: Efficient Action Tokenization for Vision-Language-Action Models
by: Pertsch, Karl, et al.
Published: (2025)
by: Pertsch, Karl, et al.
Published: (2025)
LIMT: Language-Informed Multi-Task Visual World Models
by: Aljalbout, Elie, et al.
Published: (2024)
by: Aljalbout, Elie, et al.
Published: (2024)
Similar Items
-
Meta Reinforcement Learning with Finite Training Tasks -- a Density Estimation Approach
by: Rimon, Zohar, et al.
Published: (2022) -
Learning Multiple Initial Solutions to Optimization Problems
by: Sharony, Elad, et al.
Published: (2024) -
Improving Token-Based World Models with Parallel Observation Prediction
by: Cohen, Lior, et al.
Published: (2024) -
Towards Interpretable Foundation Models of Robot Behavior: A Task Specific Policy Generation Approach
by: Sheidlower, Isaac, et al.
Published: (2024) -
MinMaxMin $Q$-learning
by: Soffair, Nitsan, et al.
Published: (2024)