papers
machine learning
agents
- Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
- ReAct: Synergizing Reasoning and Acting in Language Models
- MRKL Systems: A modular, neuro-symbolic architecture that combines large language models, external knowledge sources and discrete reasoning
- Toolformer: Language Models Can Teach Themselves to Use Tools
- MemGPT: Towards LLMs as Operating Systems
- Reflexion: Language Agents with Verbal Reinforcement Learning
- SWE-bench: Can Language Models Resolve Real-World GitHub Issues?
- SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering
- Generative Agents: Interactive Simulacra of Human Behavior
- Voyager: An Open-Ended Embodied Agent with Large Language Models
systems
- Time, Clocks, and the Ordering of Events in a Distributed System
- The Google File System
- MapReduce: Simplified Data Processing on Large Clusters
- Bigtable: A Distributed Storage System for Structured Data
- Dynamo: Amazon's Highly Available Key-value Store
- Spanner: Google's Globally-Distributed Database
- The Tail at Scale
- In Search of an Understandable Consensus Algorithm
robotics
- Elephants Don't Play Chess
- Intelligence Without Representation
- RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control
- Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation
- OpenVLA: An Open-Source Vision-Language-Action Model
- A Comprehensive Survey on World Models for Embodied AI
RF and electronics
math
- Optimal Point Location in a Monotone Subdivision
- Ruler, Compass, and Computer: The Design and Analysis of Geometric Algorithms
- Robust Adaptive Floating-Point Geometric Predicates
- Nash Equilibrium Points in N-Person Games
- A Value for N-Person Games
- Extensive Games and the Problem of Information
- Counterspeculation, Auctions, and Competitive Sealed Tenders
- Games with Incomplete Information Played by Bayesian Players
- Optimal Auction Design
- OpenSpiel A Framework for Reinforcement Learning in Games