Amy Zhang (@yayitsamyzhang) 's Twitter Profile
Amy Zhang

@yayitsamyzhang

ECE prof. at UT Austin. Works in state abstractions and generalization in RL.

ID: 789998140782882817

linkhttp://amyzhang.github.io calendar_today23-10-2016 01:13:29

208 Tweet

4,4K Followers

384 Following

Eugene Vinitsky ๐Ÿ’๐Ÿฆ‹ (@eugenevinitsky) 's Twitter Profile Photo

I'm at NeurIPS! More importantly, I'll be at the RL Conference social this Wednesday from 7-10 PM at Howling Wolf right by the conference center. Spread the good word.

Amy Zhang (@yayitsamyzhang) 's Twitter Profile Photo

Turns out offline MARL doesn't just work out of the box. Check out @paulbbarde's ๐Ÿงต๐Ÿ‘‡ demonstrating why and one possible fix - which he will be presenting at The AAMAS Conference!

Qinqing Zheng (@qqyuzu) 's Twitter Profile Photo

Still using one-step dynamics model for model-based RL? Check out our work on Diffusion World Model, which is outperforming one-step models by 44% for offline D4RL tasks arxiv.org/abs/2402.03570 joint work w/ Zihan Ding, Amy Zhang Yuandong Tian [1/3]

Still using one-step dynamics model for model-based RL? Check out our work on Diffusion World Model, which is outperforming one-step models by 44% for offline D4RL tasks arxiv.org/abs/2402.03570  joint work w/ <a href="/Hanry65960814/">Zihan Ding</a>, <a href="/yayitsamyzhang/">Amy Zhang</a> <a href="/tydsh/">Yuandong Tian</a> [1/3]
RL_Conference (@rl_conference) 's Twitter Profile Photo

The 3rd RLC keynote speaker is Doina Precup! She's been a major influence in so many parts of RL and we could not be more excited for her talk

The 3rd RLC keynote speaker is Doina Precup! She's been a major influence in so many parts of RL and we could not be more excited for her talk
Daniel Brown (@daniel_s_brown) 's Twitter Profile Photo

Excited to announce the call for workshop proposals for RL_Conference is open! rl-conference.cc/call_for_worksโ€ฆ Due March 8th. Josiah Hanna and I are the workshop co-chairs this year and we hope you'll consider submitting a proposal. Workshops on any RL-related topics are welcome!

RL_Conference (@rl_conference) 's Twitter Profile Photo

To accommodate nearby conferences and deadlines yet still maintain good reviewer matching, ๐ฐ๐ž ๐š๐ซ๐ž ๐ž๐ฑ๐ญ๐ž๐ง๐๐ข๐ง๐  ๐ญ๐ก๐ž ๐Ÿ๐ฎ๐ฅ๐ฅ ๐ฉ๐š๐ฉ๐ž๐ซ ๐๐ž๐š๐๐ฅ๐ข๐ง๐ž ๐ญ๐จ ๐Œ๐š๐ซ๐œ๐ก ๐Ÿ–๐ญ๐ก but keeping March 1st as the abstract deadline

Amy Zhang (@yayitsamyzhang) 's Twitter Profile Photo

I did an interview on YouTube for ML New Papers. Lots of fun with Charles Riou talking about research, RL and networking in ML. Check out the video below.

RL_Conference (@rl_conference) 's Twitter Profile Photo

As part of putting together #RLC2024, we spent a bunch of time thinking about how best to improve the review process for an ML conference. Post decisions, we spent some time reflecting on what went well and what we want to change in the future: check out rl-conference.cc/blogs/review_pโ€ฆ!

RL_Conference (@rl_conference) 's Twitter Profile Photo

Given the community response to RLC 2024, we're excited to start planning for RLC 2025. If you're interested in organizing or hosting, fill out this link: forms.gle/c9QcUdbKeXakd5โ€ฆ

Amy Zhang (@yayitsamyzhang) 's Twitter Profile Photo

A new self-supervised reinforcement learning objective that learns a basis set for the optimal Q of any reward function. Check out Siddhant Agarwal @ RLC 2025โ€™s thread below!

Haoran Xu (@ryanxhr) 's Twitter Profile Photo

๐Ÿ“ขCome to check our #NeurIPS2024 paper on how to correctly use diffusion models in RL! We rethink diffusion-based RL algorithms by using a guide-then-select paradigm to bring minimal out-of-distribution errors. Project page: ryanxhr.github.io/Diffusion-DICE/

Harshit Sikchi (@harshit_sikchi) 's Twitter Profile Photo

๐Ÿค– Introducing RL Zero ๐Ÿค–: a new approach to transform language into behavior zero-shot for embodied agents without labeled datasets! RL Zero enables prompt-to-policy generation, and we believe this unlocks new capabilities in scaling up language-conditioned RL, providing an

Carl Qi (@carl_qi98) 's Twitter Profile Photo

Unleashing the power of unordered particles: **EC-Diffuser** leverages a novel Transformer-based diffusion denoiser to learn goal-conditioned multi-object manipulation policy from pixels, achieving zero-shot generalization!๐Ÿ‘‡ #ICLR2025 #diffusion #Transformers