Sublime
An inspiration engine for ideas
10 years after DQN, what are deep RL’s impacts on robotics? Which robotic problems have seen the most thrilling real-world successes thanks to DRL? Where do we still need to push the boundaries, and how?
Our latest survey explores these questions! Read on for more details. 👇 https://t.co/YvFZUc3FOd
RT-2-X (55B): one of the biggest models to date performing unseen tasks in academic labs
Open X-Embodiment: Robotic Learning Datasets and RT-X Models
AI future
Josh Rayray • 1 card
🔍Looking for a multi-view depth method that just works?
We're excited to share MVSAnywhere, which we will present at #CVPR2025. MVSAnywhere produces sharp depths, generalizes and is robust to all kind of scenes, and it's scale agnostic.
More info:
https://t.co/esbaLbsRF4... See more
Sergio Izquierdox.comAI application
Darren LI • 2 cards
A matter of choice: People and possibilities in the age of AI
The 2025 Human Development Report explores the intersection of artificial intelligence and human development, emphasizing the importance of people's choices in shaping equitable outcomes amid technological advancements.
hdr.undp.org📌How can we scale imitation learning to long-horizon, multi-object tasks & generalise (spatial & intra-category) from only 10 demos?
✨Introducing Affordance-Centric Policy Decomposition
💡Relative task-frame diffusion policies that self-chain for seamless operation
__... See more
Krishan Ranax.com