Explore where major open-source projects reference and implement ideas from academic research papers.
Browse by Domain
⚙️
Classical Compilers
Production implementations of compiler algorithms and techniques
7 repos
100 papers
🧠
ML Compilers
Deep learning compilation frameworks and optimization techniques
6 repos
74 papers
💾
Databases
Database engines, storage systems, and query optimization
11 repos
41 papers
🔄
Interpreters & VMs
Language interpreters, virtual machines, and runtime systems
8 repos
53 papers
🖥️
Operating Systems
OS kernels, schedulers, memory management, and system software
6 repos
46 papers
🤖
Machine Learning
Machine learning frameworks, algorithms, and training systems
7 repos
373 papers
Recent Repositories
Recent Papers
Soft Actor-Critic Algorithms and Applications
Tuomas Haarnoja, Aurick Zhou, Kristian Hartikainen, George Tucker, Sehoon Ha, Jie Tan, Vikash Kumar,...
2018
4 references
Model-free deep reinforcement learning (RL) algorithms have been successfully applied to a range of challenging sequential decision making and control...
Revisiting the Arcade Learning Environment: Evaluation Protocols and Open Problems for General Agents (Extended Abstract)
Marlos C. Machado, Marc G. Bellemare, Erik Talvitie, J. Veness, Matthew J. Hausknecht, Michael Bowli...
2018
2 references
The Arcade Learning Environment (ALE) is an evaluation platform that poses the challenge of building AI agents with general competency across dozens o...
Soft Actor-Critic for Discrete Action Settings
Petros Christodoulou
2019
1 reference
Soft Actor-Critic is a state-of-the-art reinforcement learning algorithm for continuous action settings that is not applicable to discrete action sett...
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor
Tuomas Haarnoja, Aurick Zhou, P. Abbeel, S. Levine
2018
7 references
Model-free deep reinforcement learning (RL) algorithms have been demonstrated on a range of challenging decision making and control tasks. However, th...
Mastering Diverse Domains through World Models
Danijar Hafner, Jurgis Pasukonis, Jimmy Ba, Timothy Lillicrap
2023
41 references
Developing a general algorithm that learns to solve tasks across a wide range of applications has been a fundamental challenge in artificial intellige...
Curiosity-driven Exploration by Self-supervised Prediction
Deepak Pathak, Pulkit Agrawal, Alexei A. Efros, Trevor Darrell
2017
6 references
In many real-world scenarios, rewards extrinsic to the agent are extremely sparse, or absent altogether. In such cases, curiosity can serve as an intr...