Anita Gergely
Artificial Intelligence · 2021–2025
A researcher in the Science corpus: 4 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 44 citations into it
Whom Anita Gergely trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Anita Gergely's perspective
Ordered by how strongly the researchers Anita Gergely trusts endorse each paper. Same corpus, a different order for every researcher.
- Human-level control through deep reinforcement learning
- The Arcade Learning Environment: An Evaluation Platform for General Agents
- Continuous control with deep reinforcement learning (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- MuJoCo: A physics engine for model-based control
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Mastering the game of Go with deep neural networks and tree search
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
Their papers
- Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context (2024) — 3,818 citations
- Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities (2025) — 3,609 citations
- AndroidEnv: A Reinforcement Learning Platform for Android (2021) — 108 citations
- RLDS: an Ecosystem to Generate, Share and Use Datasets in Reinforcement Learning (2021) — 42 citations