Reinforcement Learning

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SuperMimic

SuperMimic is a reinforcement learning method for training a humanoid robot controller to follow human motions.

AI Research Robotics

TIES-Merging is a training-free model merging method that combines several models fine-tuned from a shared pre-trained checkpoint into one multitask model while explicitly resolving the interference between…

Machine Learning

Tabular Q-Learning

Tabular Q-learning is the classic form of Q-learning, a model-free reinforcement learning algorithm that stores the action-value function Q(s, a) explicitly in a lookup table, the Q-table

Machine Learning

Target Network

A target network is a separate, slowly updated copy of a neural network used in deep reinforcement learning to compute stable learning targets

Deep Learning Machine Learning

Task arithmetic

Task arithmetic is a model-editing technique that steers the behavior of a neural network by adding or subtracting vectors in its weight space.

Machine Learning

Temporal-difference learning

Temporal-difference (TD) learning is a class of model-free reinforcement learning methods that learn value-function estimates by bootstrapping: updating each estimate of how good a state is toward a target…

Algorithms Machine Learning

Tim Rocktäschel

Tim Rocktäschel is a German computer scientist known for his work on reinforcement learning, open-ended learning, and language-based AI agents.

AI Agents People

Together Post-Training

Together Post-Training is a managed service from Together AI for customizing open-weight large language models with reinforcement learning (RL) and supervised fine-tuning (SFT).

AI Infrastructure Developer Tools

Training AI to Paint with Code

Training AI to Paint with Code is an experimental AI art project published by designer and researcher Surya Narreddi in March 2026.

AI Research Artificial Intelligence

Trajectory (Reinforcement Learning)

A trajectory in reinforcement learning is a sequence of states, actions, and rewards that an agent experiences while interacting with an environment.

Machine Learning

Twin Delayed DDPG

Twin Delayed Deep Deterministic Policy Gradient (TD3) is an off-policy actor-critic reinforcement learning algorithm for continuous action spaces, introduced by Scott Fujimoto, Herke van Hoof, and David Meger…

Algorithms Deep Learning

Tülu 3

Tülu 3 is a fully open post-training recipe and a corresponding family of instruction-tuned language models released by the Allen Institute for AI (Ai2) on November 21, 2024.

AI Research Open Source AI

VAPO (Value-based Augmented PPO)

VAPO (Value-based Augmented Proximal Policy Optimization) is a reinforcement learning framework for training large language models on long chain-of-thought reasoning tasks.

Machine Learning

Xiaomi MiMo-V2.6

Xiaomi MiMo-V2.6 is a family of open-weights omni-modal mixture-of-experts language models released by Xiaomi's MiMo team on 21-22 September 2026.

Chinese AI Large Language Models

openpilot

openpilot is an open-source driver-assistance system developed by comma.ai and its user community.

Autonomous Vehicles Open Source AI

π*0.6 (pi-star-0.6)

π*0.6 (written "Pi-star-0.6") is a vision-language-action robot foundation model developed by Physical Intelligence, a San Francisco robotics startup.

AI Models Robotics