Improving Generalization in Reinforcement Learning using Policy Similarity Embeddings
Posted by Rishabh Agarwal, Research Associate, Google Research, Brain Team Reinforcement learning (RL) is a sequential decision-making paradigm for training intelligent agents to tackle complex tasks, such as robotic locomotion, playing video games, flying stratospheric balloons and designing hardware chips.…
Efficient Partitioning of Road Networks
FedJAX: Federated Learning Simulation with JAX
Introducing FLAN: More generalizable Language Models with Instruction Fine-Tuning
Finding Complex Metal Oxides for Technology Advancement
Google at ICCV 2021
Other Research Organigations
Attention-based deep neural network increases detection capability in sonar systems
Developing and deploying trustworthy AI in government
Artificial intelligence (AI) offers government tremendous opportunities to improve operations and the lives of citizens, yet to ensure that such a powerful tool stays true to our collective values requires significant and continuous effort. Government should institutionalize governance structures, embed…