Google DeepMindRL Unplugged: Benchmarks for Offline Reinforcement Learning
A proposal for a benchmark called RL Unplugged to evaluate and compare offline RL methods with diverse datasets from various domains.
Google DeepMindApplying for technical roles
Addressing the gender gap in the STEM workforce and providing guidance for women on applying for technical roles.
Jane StreetReally low latency multipliers and cryptographic puzzles
Exploring the use of FPGAs for low-latency systems and the increased accessibility of renting FPGA cards on the cloud
OpenAIProcgen and MineRL Competitions
Exploring the latest advancements in procedural generation and MineRL competitions
OpenAIImage GPT
Exploring the innovative capabilities of Image GPT for enhanced visual understanding.
Google DeepMinddm_control: Software and Tasks for Continuous Control
A collection of Python libraries and task suites for reinforcement learning agents in an articulated-body simulation, with convenient bindings, procedural model manipulation, and task authoring.
SoundCloudAnnouncing Twinagle: Twirp and Protobuf for Finagle
Combining Twirp and Protobuf with Finagle to enhance serialization protocols
OpenAIOpenAI API
Exploring the capabilities and applications of the OpenAI API
Jane StreetUsing ASCII waveforms to test hardware designs
Utilizing ASCII waveforms as an automated method to test the accuracy of hardware designs
Google DeepMindAcme: A new framework for distributed reinforcement learning
A framework for building readable, efficient, research-oriented RL algorithms that enables simple descriptions of RL agents at various scales of execution, including distributed agents.
OpenAILanguage models are few-shot learners
Understanding the potential of few-shot learning in language models
SoundCloudStretch Opportunities for Engineers
Exploring the concept of stretch opportunities for engineers and how they can help foster growth and skill improvement.