:: Library Catalog

Slika omota

Spremljeno u:

Bibliografski detalji
Glavni autori:	Agrawal, Rishabh, Dahlin, Nathan, Jain, Rahul, Nayyar, Ashutosh
Format:	Preprint
Izdano:	2024
Teme:	Machine Learning Artificial Intelligence
Online pristup:	https://arxiv.org/abs/2408.09125
Oznake:	Dodaj oznaku Bez oznaka, Budi prvi tko označuje ovaj zapis!

Slični predmeti

Balance Equation-based Distributionally Robust Offline Imitation Learning
od: Agrawal, Rishabh, i dr.
Izdano: (2025)

When Dynamics Shift, Robust Task Inference Wins: Offline Imitation Learning with Behavior Foundation Models Revisited
od: Agrawal, Rishabh, i dr.
Izdano: (2026)

Posterior Sampling-based Online Learning for Episodic POMDPs
od: Tang, Dengwang, i dr.
Izdano: (2023)

Adaptive Few-Shot Learning (AFSL): Tackling Data Scarcity with Stability, Robustness, and Versatility
od: Agrawal, Rishabh
Izdano: (2025)

DITTO: Offline Imitation Learning with World Models
od: DeMoss, Branton, i dr.
Izdano: (2023)

Using Non-Expert Data to Robustify Imitation Learning via Offline Reinforcement Learning
od: Huang, Kevin, i dr.
Izdano: (2025)

FAST-Q: Fast-track Exploration with Adversarially Balanced State Representations for Counterfactual Action Estimation in Offline Reinforcement Learning
od: Agrawal, Pulkit, i dr.
Izdano: (2025)

Offline Imitation Learning with Model-based Reverse Augmentation
od: Shao, Jie-Jing, i dr.
Izdano: (2024)

How to Leverage Diverse Demonstrations in Offline Imitation Learning
od: Yue, Sheng, i dr.
Izdano: (2024)

Quantifying Generalisation in Imitation Learning
od: Gavenski, Nathan, i dr.
Izdano: (2025)

A Bayesian Learning Algorithm for Unknown Zero-sum Stochastic Games with an Arbitrary Opponent
od: Jafarnia-Jahromi, Mehdi, i dr.
Izdano: (2021)

OLLIE: Imitation Learning from Offline Pretraining to Online Finetuning
od: Yue, Sheng, i dr.
Izdano: (2024)

SPRINQL: Sub-optimal Demonstrations driven Offline Imitation Learning
od: Hoang, Huy, i dr.
Izdano: (2024)

Offline Imitation Learning Through Graph Search and Retrieval
od: Yin, Zhao-Heng, i dr.
Izdano: (2024)

SEABO: A Simple Search-Based Method for Offline Imitation Learning
od: Lyu, Jiafei, i dr.
Izdano: (2024)

Align Your Intents: Offline Imitation Learning via Optimal Transport
od: Bobrin, Maksim, i dr.
Izdano: (2024)

Complement Submodular Information Measures for Balanced and Robust Data Selection
od: Iyer, Rishabh
Izdano: (2026)

Offline Diversity Maximization Under Imitation Constraints
od: Vlastelica, Marin, i dr.
Izdano: (2023)

A Dual Approach to Imitation Learning from Observations with Offline Datasets
od: Sikchi, Harshit, i dr.
Izdano: (2024)

Pure Exploration for Constrained Best Mixed Arm Identification with a Fixed Budget
od: Tang, Dengwang, i dr.
Izdano: (2024)

Beyond Mimicry: Toward Lifelong Adaptability in Imitation Learning
od: Gavenski, Nathan, i dr.
Izdano: (2026)

PROF: An LLM-based Reward Code Preference Optimization Framework for Offline Imitation Learning
od: Sun, Shengjie, i dr.
Izdano: (2025)

SafeMIL: Learning Offline Safe Imitation Policy from Non-Preferred Trajectories
od: Burnwal, Returaj, i dr.
Izdano: (2025)

Learning What to Do and What Not To Do: Offline Imitation from Expert and Undesirable Demonstrations
od: Hoang, Huy, i dr.
Izdano: (2025)

Measurement Scheduling for ICU Patients with Offline Reinforcement Learning
od: Ji, Zongliang, i dr.
Izdano: (2024)

Context-Sensitive Abstractions for Reinforcement Learning with Parameterized Actions
od: Nayyar, Rashmeet Kaur, i dr.
Izdano: (2025)

Efficient Online Learning with Offline Datasets for Infinite Horizon MDPs: A Bayesian Approach
od: Tang, Dengwang, i dr.
Izdano: (2023)

A Survey of Imitation Learning Methods, Environments and Metrics
od: Gavenski, Nathan, i dr.
Izdano: (2024)

OSIL: Learning Offline Safe Imitation Policies with Safety Inferred from Non-preferred Trajectories
od: Burnwal, Returaj, i dr.
Izdano: (2026)

Bayesian Learning in Episodic Zero-Sum Games
od: Yueh, Chang-Wei, i dr.
Izdano: (2026)

Imitation Learning Datasets: A Toolkit For Creating Datasets, Training Agents and Benchmarking
od: Gavenski, Nathan, i dr.
Izdano: (2024)

Offline Imitation of Badminton Player Behavior via Experiential Contexts and Brownian Motion
od: Wang, Kuang-Da, i dr.
Izdano: (2024)

Offline Imitation from Observation via Primal Wasserstein State Occupancy Matching
od: Yan, Kai, i dr.
Izdano: (2023)

Towards Generalisable Imitation Learning Through Conditioned Transition Estimation and Online Behaviour Alignment
od: Gavenski, Nathan, i dr.
Izdano: (2026)

Optimal Control of Logically Constrained Partially Observable and Multi-Agent Markov Decision Processes
od: Kalagarla, Krishna C., i dr.
Izdano: (2023)

Dual-Force: Enhanced Offline Diversity Maximization under Imitation Constraints
od: Kolev, Pavel, i dr.
Izdano: (2025)

Explorative Imitation Learning: A Path Signature Approach for Continuous Environments
od: Gavenski, Nathan, i dr.
Izdano: (2024)

From Imitation to Optimization: A Comparative Study of Offline Learning for Autonomous Driving
od: Guillen-Perez, Antonio
Izdano: (2025)

Seesaw: Accelerating Training by Balancing Learning Rate and Batch Size Scheduling
od: Meterez, Alexandru, i dr.
Izdano: (2025)

Improving Offline Reinforcement Learning with Inaccurate Simulators
od: Hou, Yiwen, i dr.
Izdano: (2024)