Image de couverture de livre

Consistent Zero-Shot Imitation with Contrastive Goal Inference

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Wantlin, Kathryn, Zheng, Chongyi, Eysenbach, Benjamin
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Contrastive Difference Predictive Coding
par: Zheng, Chongyi, et autres
Publié: (2023)

Stabilizing Contrastive RL: Techniques for Robotic Goal Reaching from Offline Data
par: Zheng, Chongyi, et autres
Publié: (2023)

Occupancy Reward Shaping: Improving Credit Assignment for Offline Goal-Conditioned Reinforcement Learning
par: Venugopal, Aravind, et autres
Publié: (2026)

Learning Temporal Distances: Contrastive Successor Features Can Provide a Metric Structure for Decision-Making
par: Myers, Vivek, et autres
Publié: (2024)

Can We Really Learn One Representation to Optimize All Rewards?
par: Zheng, Chongyi, et autres
Publié: (2026)

BuilderBench: The Building Blocks of Intelligent Agents
par: Ghugare, Raj, et autres
Publié: (2025)

Intention-Conditioned Flow Occupancy Models
par: Zheng, Chongyi, et autres
Publié: (2025)

Can a MISL Fly? Analysis and Ingredients for Mutual Information Skill Learning
par: Zheng, Chongyi, et autres
Publié: (2024)

Inference via Interpolation: Contrastive Representations Provably Enable Planning and Inference
par: Eysenbach, Benjamin, et autres
Publié: (2024)

A Single Goal is All You Need: Skills and Exploration Emerge from Contrastive RL without Rewards, Demonstrations, or Subgoals
par: Liu, Grace, et autres
Publié: (2024)

The "Law" of the Unconscious Contrastive Learner: Probabilistic Alignment of Unpaired Modalities
par: Che, Yongwei, et autres
Publié: (2025)

Value Flows
par: Dong, Perry, et autres
Publié: (2025)

UpSkill: Mutual Information Skill Learning for Structured Response Diversity in LLMs
par: Shah, Devan, et autres
Publié: (2026)

Offline Goal-conditioned Reinforcement Learning with Quasimetric Representations
par: Myers, Vivek, et autres
Publié: (2025)

Multistep Quasimetric Learning for Scalable Goal-conditioned Reinforcement Learning
par: Zheng, Bill Chunyuan, et autres
Publié: (2025)

OGBench: Benchmarking Offline Goal-Conditioned RL
par: Park, Seohong, et autres
Publié: (2024)

Self-Supervised Goal-Reaching Results in Multi-Agent Cooperation and Exploration
par: Nimonkar, Chirayu, et autres
Publié: (2025)

HIQL: Offline Goal-Conditioned RL with Latent States as Actions
par: Park, Seohong, et autres
Publié: (2023)

Demystifying the Mechanisms Behind Emergent Exploration in Goal-conditioned RL
par: Bastankhah, Mahsa, et autres
Publié: (2025)

Unifying Goal-Conditioned RL and Unsupervised Skill Learning via Control-Maximization
par: Modirshanechi, Alireza, et autres
Publié: (2026)

Normalizing Flows are Capable Models for RL
par: Ghugare, Raj, et autres
Publié: (2025)

Contrastive Representations for Temporal Reasoning
par: Ziarko, Alicja, et autres
Publié: (2025)

Zero-Shot Offline Imitation Learning via Optimal Transport
par: Rupf, Thomas, et autres
Publié: (2024)

1000 Layer Networks for Self-Supervised RL: Scaling Depth Can Enable New Goal-Reaching Capabilities
par: Wang, Kevin, et autres
Publié: (2025)

Accelerating Goal-Conditioned RL Algorithms and Research
par: Bortkiewicz, Michał, et autres
Publié: (2024)

Behavior-Consistent Deep Reinforcement Learning
par: Hussing, Marcel, et autres
Publié: (2026)

Learning to Perceive the World Through Control: Empowerment-Based Representation Learning
par: Bastankhah, Mahsa, et autres
Publié: (2026)

Generalized Animal Imitator: Agile Locomotion with Versatile Motion Prior
par: Yang, Ruihan, et autres
Publié: (2023)

Cycle-Consistent Helmholtz Machine: Goal-Seeded Simulation via Inverted Inference
par: Li, Xin
Publié: (2025)

EmbodiSwap for Zero-Shot Robot Imitation Learning
par: Dessalene, Eadom, et autres
Publié: (2025)

Horizon Generalization in Reinforcement Learning
par: Myers, Vivek, et autres
Publié: (2025)

On the Role of Iterative Computation in Reinforcement Learning
par: Ghugare, Raj, et autres
Publié: (2026)

Closing the Gap between TD Learning and Supervised Learning -- A Generalisation Point of View
par: Ghugare, Raj, et autres
Publié: (2024)

On the Problem of Consistent Anomalies in Zero-Shot Anomaly Detection
par: Le-Gia, Tai
Publié: (2025)

Zero-Shot Scalable Resilience in UAV Swarms: A Decentralized Imitation Learning Framework with Physics-Informed Graph Interactions
par: Lin, Huan, et autres
Publié: (2026)

Deconfounding Imitation Learning with Variational Inference
par: Vuorio, Risto, et autres
Publié: (2022)

Is Temporal Difference Learning the Gold Standard for Stitching in RL?
par: Bortkiewicz, Michał, et autres
Publié: (2025)

A Rate-Distortion View of Uncertainty Quantification
par: Apostolopoulou, Ifigeneia, et autres
Publié: (2024)

Temporal Representations for Exploration: Learning Complex Exploratory Behavior without Extrinsic Rewards
par: Mohamed, Faisal, et autres
Publié: (2026)

Policy Adaptation via Language Optimization: Decomposing Tasks for Few-Shot Imitation
par: Myers, Vivek, et autres
Publié: (2024)