Which Mutual Information Representation Learning Objectives are Sufficient for Control? – The Berkeley Artificial Intelligence Research Blog

Processing raw sensory inputs is vital for using deep RL algorithms to real-world issues. For example, self-governing automobiles should make choices about how to drive securely provided info streaming from video cameras, radar, and microphones about the conditions of the roadway, traffic signals, and other automobiles and pedestrians. However, direct “end-to-end” RL that maps sensing […]

Sequence Modeling Solutions for Reinforcement Learning Problems – The Berkeley Artificial Intelligence Research Blog

Sequence Modeling Solutions for Reinforcement Learning Problems Long-horizon forecasts of (leading) the Trajectory Transformer compared to those of (bottom) a single-step characteristics design. Modern artificial intelligence success stories typically have something in typical: they utilize techniques that scale with dignity with ever-increasing quantities of information. This is especially clear from current advances in series modeling, […]

A First-Principles Theory of NeuralNetwork Generalization – The Berkeley Artificial Intelligence Research Blog

Fig 1. Measures of generalization efficiency for neural networks educated on 4 completely different boolean features (colours) with various coaching set measurement. For each MSE (left) and learnability (proper), theoretical predictions (curves) carefully match true efficiency (dots). Deep studying has confirmed a shocking success for numerous issues of curiosity, however this success belies the truth […]

Example-Based Control, Meta-Learning, and Normalized Maximum Likelihood – The Berkeley Artificial Intelligence Research Blog

Diagram of MURAL, our technique for studying uncertainty-aware rewards for RL. After the consumer gives just a few examples of desired outcomes, MURAL mechanically infers a reward perform that takes under consideration these examples and the agent’s uncertainty for every state. Although reinforcement studying has proven success in domains akin to robotics, chip placement and […]