A couple of years ago, Pete Skomoroch, Roger Magoulas, and I talked about the problems of […]
Fig 1. Measures of generalization performance for neural networks trained on four different boolean functions (colors) […]
Diagram of MURAL, our method for learning uncertainty-aware rewards for RL. After the user provides a […]
Sequence Modeling Solutions for Reinforcement Learning Problems Long-horizon predictions of (top) the Trajectory Transformer compared to […]
Processing raw sensory inputs is crucial for applying deep RL algorithms to real-world problems. For example, […]
Fig. 1: The BRIDGE dataset contains 7200 demonstrations of kitchen-themed manipulation tasks across 71 tasks in […]
Many experimental works have observed that generalization in deep RL appears to be difficult: although RL […]
An example of our method deployed on a Clearpath Jackal ground robot (left) exploring a suburban […]
Many experimental works have observed that generalization in deep RL appears to be difficult: although RL […]
By John P. Desmond, AI Trends Editor Two experiences of how AI developers within the federal government are pursuing […]