Papers

Filtered to autonomous exploration · 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

RSIAgent: Autonomous Exploration for Recursive Self-improvement in New Environments

70 upvotes · 14 SEP 2026 · Sibo Zhu, Shicheng Fan, Xinyue Wang et al.

This paper introduces a new framework called RSIAgent that helps digital agents adapt to new environments without needing to be retrained. A practitioner might care about this because it allows for more efficient and effective AI systems that can learn and improve on their own.

reinforcement learningmulti-agent systemsautonomous explorationrecursive self-improvementtransfer learning