The objective of my research is to build intelligent agents that discover and learn how to behave in the environment by interacting with it.
Highlights
- Pro
Block or Report
Block or report mazpie
Contact GitHub support about this user’s behavior. Learn more about reporting abuse.
Report abusePinned Loading
-
choreographer
choreographer Public[ICLR 2023] Choreographer: a model-based agent that discovers and learns unsupervised skills in latent imagination, and it's able to efficiently coordinate and adapt the skills to solve downstream …
-
mastering-urlb
mastering-urlb Public[ICML 2023] Pre-train world model-based agents with different unsupervised strategies, fine-tune the agent's components selectively, and use planning (Dyna-MPC) during fine-tuning.
-
redundancy-action-spaces
redundancy-action-spaces Public[RA-L 2024] Novel action spaces leveraging redundancy in 7 DoF arms enable efficient & precise learning in robotic manipulation
Python 13
-
contrastive-aif
contrastive-aif Public[NeurIPS 2021] Contrastive learning formulation of the active inference framework, for matching visual goal states.
-
lbs-exploration
lbs-exploration Public[AAAI-22] Curiosity-based objective for exploration with reinforcement learning in state-based and vision-based environments.
Python 1
If the problem persists, check the GitHub status page or contact support.