SOTAVerified

Imitation Learning

Imitation Learning is a framework for learning a behavior policy from demonstrations. Usually, demonstrations are presented in the form of state-action trajectories, with each pair indicating the action to take at the state being visited. In order to learn the behavior policy, the demonstrated actions are usually utilized in two ways. The first, known as Behavior Cloning (BC), treats the action as the target label for each state, and then learns a generalized mapping from states to actions in a supervised manner. Another way, known as Inverse Reinforcement Learning (IRL), views the demonstrated actions as a sequence of decisions, and aims at finding a reward/cost function under which the demonstrated decisions are optimal.

Finally, a newer methodology, Inverse Q-Learning aims at directly learning Q-functions from expert data, implicitly representing rewards, under which the optimal policy can be given as a Boltzmann distribution similar to soft Q-learning

Source: Learning to Imitate

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 501–550 of 2122 papers

TitleStatusHype
Rethinking Inverse Reinforcement Learning: from Data Alignment to Task AlignmentCode0
Iterative Sizing Field Prediction for Adaptive Mesh Generation From Expert DemonstrationsCode0
A Conservative Approach for Few-Shot Transfer in Off-Dynamics Reinforcement LearningCode0
Confidence-Guided Human-AI Collaboration: Reinforcement Learning with Distributional Proxy Value Propagation for Autonomous DrivingCode0
Iterative Document-level Information Extraction via Imitation LearningCode0
Inverse Reinforcement Learning by Estimating Expertise of DemonstratorsCode0
Inverse Q-Learning Done Right: Offline Imitation Learning in Q^π-Realizable MDPsCode0
Divide & Conquer Imitation LearningCode0
Conditional Affordance Learning for Driving in Urban EnvironmentsCode0
Intrinsically Motivated Open-Ended Multi-Task Learning Using Transfer Learning to Discover Task HierarchyCode0
Dynamic Regret Convergence Analysis and an Adaptive Regularization Algorithm for On-Policy Robot Imitation LearningCode0
Interactive Learning from Activity DescriptionCode0
LASIL: Learner-Aware Supervised Imitation Learning For Long-term Microscopic Traffic SimulationCode0
Comyco: Quality-Aware Adaptive Video Streaming via Imitation LearningCode0
IN-RIL: Interleaved Reinforcement and Imitation Learning for Policy Fine-TuningCode0
Inspector: Pixel-Based Automated Game Testing via Exploration, Detection, and InvestigationCode0
Compositional Plan VectorsCode0
Information Maximizing Curriculum: A Curriculum-Based Approach for Imitating Diverse SkillsCode0
Integrating Reinforcement Learning, Action Model Learning, and Numeric Planning for Tackling Complex TasksCode0
CompILE: Compositional Imitation Learning and ExecutionCode0
Adversarial Moment-Matching Distillation of Large Language ModelsCode0
Inferring Versatile Behavior from Demonstrations by Matching Geometric DescriptorsCode0
Compiler Auto-Vectorization with Imitation LearningCode0
InfoGAIL: Interpretable Imitation Learning from Visual DemonstrationsCode0
Interactive Imitation Learning in State-SpaceCode0
Comparing the Efficacy of Fine-Tuning and Meta-Learning for Few-Shot Policy ImitationCode0
A Survey of Deep Network Solutions for Learning Control in Robotics: From Reinforcement to ImitationCode0
Adversarial Mixture Density Networks: Learning to Drive Safely from Collision DataCode0
Improving End-to-End Speech Translation by Imitation-Based Knowledge Distillation with Synthetic TranscriptsCode0
Improving In-Context Learning with Reasoning DistillationCode0
Imitrob: Imitation Learning Dataset for Training and Evaluating 6D Object Pose EstimatorsCode0
Improved Policy Optimization for Online Imitation LearningCode0
Imitation Learning with Limited Actions via Diffusion Planners and Deep Koopman ControllersCode0
Improving Policy Optimization with Generalist-Specialist LearningCode0
Interactive incremental learning of generalizable skills with local trajectory modulationCode0
Imitation Learning from Purified DemonstrationsCode0
Imitation Learning from Suboptimal Demonstrations via Meta-Learning An Action RankerCode0
CoDraw: Collaborative Drawing as a Testbed for Grounded Goal-driven CommunicationCode0
Adversarial Imitation Learning with Trajectorial Augmentation and CorrectionCode0
Imitation Learning of Agenda-based Semantic ParsersCode0
Imitation Learning for Sentence Generation with Dilated Convolutions Using Adversarial TrainingCode0
Imitation Learning from a Single Temporally Misaligned VideoCode0
Active Multi-task Policy Fine-tuningCode0
Imitation Learning for Neural Morphological String TransductionCode0
Imitation Learning from Observations under Transition Model DisparityCode0
Imitation Learning of Stabilizing Policies for Nonlinear SystemsCode0
Imitation Learning by State-Only Distribution MatchingCode0
Imitation Learning by Reinforcement LearningCode0
Imitation Learning for Autonomous Driving: Insights from Real-World TestingCode0
Imitation Learning-based Implicit Semantic-aware Communication Networks: Multi-layer Representation and Collaborative ReasoningCode0
Show:102550
← PrevPage 11 of 43Next →

No leaderboard results yet.