Papers

Filtered to vision foundation models · clear filter

Browse by term

continual learning 83reinforcement learning 50large language models 12benchmarking 11benchmarks 11language models 11vision-language models 11robotics 7natural language processing 6world models 6generative models 5recursive self-improvement 5attention mechanisms 4diffusion Transformers 4multi-agent systems 4multimodal learning 4multimodal models 4on-policy distillation 4self-distillation 4self-supervised learning 4transformers 4video generation 4vision-language-action models 4agent-based systems 3agentic models 3agentic search 3autonomous systems 3coding agents 3diffusion models 3image generation 3

Matching papers

DriveZero: End-to-End Driving Beyond Human Demonstrations

50 upvotes · 5 SEP 2026 · Hao He, Chengcheng Hu, Zirun Su et al.

This paper presents a method for end-to-end driving systems to learn beyond human demonstrations, using a combination of perception and action models that can learn from diverse data and provide goal-conditioned supervision. Practitioners might care about this approach because it allows for more robust and flexible autonomous driving systems.

reinforcement learningclosed-loop feedbackvision foundation modelsgoal-conditioned teachervalue-guided test-time action search