behavioral cloning

Continuous Vision-Language-Action Co-Learning with Semantic-Physical Alignment for Behavioral Cloning AAAI 2026 Reinforcement Learning Without Explicit Rewards: Theory and Practice AAAI 2026 StyleDrive: Towards Driving-Style Aware Benchmarking of End-To-End Autonomous Driving AAAI 2026 Behaviour Preference Regression for Offline Reinforcement Learning AAAI 2025 Conditional Kernel Imitation Learning for Continuous State Environments L4DC 2025 Diverse Policies Recovering via Pointwise Mutual Information Weighted Imitation Learning ICLR 2025 Driving in the Occupancy World: Vision-Centric 4D Occupancy Forecasting and Planning via World Models for Autonomous Driving AAAI 2025 Dynamic Rank Adjustment in Diffusion Policies for Efficient and Flexible Training RSS 2025 EC-Diffuser: Multi-Object Manipulation via Entity-Centric Behavior Generation ICLR 2025 POIL:Preference Optimization for Imitation Learning ACML 2025 Steering Your Diffusion Policy with Latent Space Reinforcement Learning CoRL 2025 Amortized Planning with Large-Scale Transformers: A Case Study on Chess NeurIPS 2024 Diffusion Model-Augmented Behavioral Cloning ICML 2024 DMC-VB: A Benchmark for Representation Learning for Control with Visual Distractors NeurIPS 2024 Fast Imitation via Behavior Foundation Models ICLR 2024 Grounded Language Agent for Product Search via Intelligent Web Interactions EMNLP 2024 Is Value Learning Really the Main Bottleneck in Offline RL? NeurIPS 2024 Mitigating Covariate Shift in Behavioral Cloning via Robust Stationary Distribution Correction NeurIPS 2024 Offline Actor-Critic Reinforcement Learning Scales to Large Models ICML 2024 Policy Improvement using Language Feedback Models NeurIPS 2024 RLIF: Interactive Imitation Learning as Reinforcement Learning ICLR 2024 The Generalization Gap in Offline Reinforcement Learning ICLR 2024 A Pragmatic Look at Deep Imitation Learning ACML 2023 Augmenting Flight Training with AI to Efficiently Train Pilots AAAI 2023 Coherent Soft Imitation Learning NeurIPS 2023