Reinforcement learning
8 milestones used this technique.
Reinforcement learning framework proposed to model T-cell adaptive immune response
In 2021, researchers published in Physical Review Research a theoretical framework proposing that T-cell receptor signalling during adaptive immunity can be formally described as a reinforcement learning process, connecting immunological learning to established machine-learning theory.
BWIBots: A Platform for Robots Operating in Human-Inhabited Buildings
In February 2017, researchers at the University of Texas at Austin's Building-Wide Intelligence project published a description of the BWIBots platform in the International Journal of Robotics Research, detailing mobile robots designed to operate autonomously in office buildings, accept natural-language commands, and learn cooperative tasks through human interaction.
OpenAI Released OpenAI Gym, a Toolkit for Reinforcement Learning Research
In April 2016, OpenAI publicly released OpenAI Gym, an open-source toolkit providing a standardised collection of environments for developing and benchmarking reinforcement learning algorithms, lowering the barrier to reproducible RL research.
DeepMind Publishes AlphaGo, a Deep Reinforcement Learning System That Defeated Professional Go Players
In January 2016, researchers at Google DeepMind published a paper in Nature describing AlphaGo, a system combining deep convolutional neural networks with Monte Carlo tree search and reinforcement learning that defeated the European Go champion Fan Hui 5–0, marking the first time a computer program had beaten a professional Go player at full-board Go.
Schaft Inc Robot Wins DARPA Robotics Challenge Trials 2013
In December 2013, Schaft Inc, a Japanese robotics company acquired by Google in October 2013, won the DARPA Robotics Challenge Trials at Homestead Miami Speedway, Florida, scoring 27 out of 32 points across eight disaster-response tasks and finishing ahead of 15 other teams.
Zoe: Autonomous Astrobiology Field Robot for the Atacama Desert
In 2004, a team from Carnegie Mellon University's Field Robotics Center, NASA Ames Research Center, and the University of Tennessee deployed the Zoe rover autonomously across Chile's Atacama Desert, demonstrating robotic detection of subsurface biological life with relevance to astrobiology and future Mars exploration.
Fujitsu Laboratories Develops Dynamically Reconfigurable Neural Network for Humanoid Robot Motor Learning
In March 2003, Fujitsu Laboratories announced a dynamically reconfigurable neural network system enabling humanoid robots to learn motor coordination from experience, reducing learning time that previously required days or months and substantially cutting the volume of motion-control software needed.
TD-Gammon Developed by Gerald Tesauro at IBM
In 1992, Gerald Tesauro at IBM Thomas J. Watson Research Center developed TD-Gammon, a backgammon program that trained itself through self-play using temporal-difference learning applied to a multilayer neural network, reaching a standard of play close to that of strong human experts.