Search Results for author:
Found 3 papers, 2 papers with code
Learning to Play Atari in a World of Tokens
We incorporate a transformer-decoder for auto-regressive world modeling and a transformer-encoder for learning behavior by attending to task-relevant cues in the discrete representation of the world model.
AdaptNet: Policy Adaptation for Physics-Based Character Control
The technique is shown to be effective for adapting existing physics-based controllers to a wide range of new styles for locomotion, new task targets, changes in character morphology and extensive changes in environment.
Automatic Evaluation of Excavator Operators using Learned Reward Functions
Training novice users to operate an excavator for learning different skills requires the presence of expert teachers.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
