Siddhant Agarwal

PhD CS @UTAustin | Reinforcement Learning & Robotics, prev intern @Amazon

[Siddhant Agarwal @agsidd10]

Do RL solutions share a common structure? We show that all solutions of Reinforcement Learning lie on a hyperplane. Our work, Proto Successor Measure, learns this abstraction of the MDP to do zero-shot RL for any reward function. (1/n)

[RL Beyond Rewards Workshop @RLBRew_RLC]

Two BIG updates for the RLBrew Workshop at #RLC2026! 📣

1️⃣ Dual submissions are welcome
2️⃣ We’ll be awarding a Best Paper RLBrew Award 🏆

You have 2 DAYS LEFT to submit — deadline: May 29!

Details: https://t.co/segLTne6Tp

[Siddhant Agarwal @agsidd10]

Reminder, 7 days to submit your work.

[RL Beyond Rewards Workshop @RLBRew_RLC]

Reminder! RLBRew deadline in coming up in 7 days! Submit your works soon👩‍💻

Reminder that we accept under review papers! This is a good place to discuss your ideas and get feedback from the community

[Siddhant Agarwal @agsidd10]

@tw_killian @BYU @BYUCS Congratulations

[RL Beyond Rewards Workshop @RLBRew_RLC]

We are extending the submission deadline to May 29, 2026 (AoE). Submit your ideas soon!

[Siddhant Agarwal @agsidd10]

@g_k_swamy Congratulations

[Siddhant Agarwal @agsidd10]

Can regularized latent dynamics prediction scale Behavior Foundation Models? Check out our work at ICLR 2026.

[Pranaya Jajoo @JajooPranaya]

Introducing RLDP – a simple, scalable approach for building strong Behavioral Foundation Models. 🚀 #ICLR2026

✅ Robust objective: avoids brittle unsupervised RL objectives while staying simple and scalable.
🗂️ No data-coverage limitations: works across a wide variety of datasets.
🧩 One latent space for all tasks: a unified representation space.
🎯➡️🤖 Zero-shot control: specify a reward and directly obtain a policy/behavior – no additional training required.

[Siddhant Agarwal @agsidd10]

I’ll be attending #NeurIPS2025 and presenting our work, “RLZero: Direct Policy Inference from Language Without In-Domain Supervision." Excited to chat about unsupervised RL, reasoning, and RL more broadly. I’m also exploring industry opportunities — feel free to reach out!

[Siddhant Agarwal @agsidd10]

@sushantsareen 0z

[Jiaxun Cui 🐿️ @cuijiaxun]

Meta has gone crazy on the squid game!
Many new PhD NGs are deactivated today
(I am also impacted🥲 happy to chat)

[Rutav @rutavms]

Intelligent humanoids should have the ability to quickly adapt to new tasks by observing humans

Why is such adaptability important?
🌍 Real-world diversity is hard to fully capture in advance
🧠 Adaptability is central to natural intelligence

We present MimicDroid 👇

🌐 https://t.co/J8XpND9j1j

[Siddhant Agarwal @agsidd10]

I’ll be at #ICML2025 presenting our paper, “Proto Successor Measure: Representing the Behavior Space of an RL Agent”. Excited to connect with others working on unsupervised RL and RL more broadly. Also am on the lookout for research collaborations and opportunities in industries.

[Siddhant Agarwal @agsidd10]

@rkjenamani Congratulations Rajat

[Rajat Kumar Jenamani @rkjenamani]

Most assistive robots live in labs.
We want to change that.

FEAST enables care recipients to personalize mealtime assistance in-the-wild, with minimal researcher intervention across diverse in-home scenarios.

🏆 Outstanding Paper & Systems Paper Finalist @RoboticsSciSys
🧵1/8

[RL Beyond Rewards Workshop @RLBRew_RLC]

Reminder! The deadline in coming up in 5 days. Submit your works soon. You can submit your under-review NeurIPS papers too.

[Gokul Swamy @g_k_swamy]

Say ahoy to 𝚂𝙰𝙸𝙻𝙾𝚁⛵: a new paradigm of *learning to search* from demonstrations, enabling test-time reasoning about how to recover from mistakes w/o any additional human feedback! 𝚂𝙰𝙸𝙻𝙾𝚁 ⛵ out-performs Diffusion Policies trained via behavioral cloning on 5-10x data!

[RL Beyond Rewards Workshop @RLBRew_RLC]

We are extending the submission deadline to June 15, 2025 (AoE). Submit your ideas soon!

[Siddhant Agarwal @agsidd10]

Missed the NeurIPS deadline? RLBrew Workshop deadline in less than 15 days. Submit your finished or unfinished work to this RLC workshop.

[RL Beyond Rewards Workshop @RLBRew_RLC]

⚠️ Reminder! Submissions for @RL_Conference's RL beyond Reward Workshop are due May 30 (AoE)!

We are brewing an interesting program and seeking innovative research work in reward-free RL. All papers are welcome, from exploratory abstracts to complete research papers.

[Siddhant Agarwal @agsidd10]

Check out our work: https://t.co/JcANDg2eq9 (3/n)

[Siddhant Agarwal @agsidd10]

It's exciting to think about the capabilities of zero-shot RL as foundation models. Using our work RLZero, you can specify your task as natural language prompts and expect zero-shot policy generation for embodied agents. (1/n)

[Harshit Sikchi @harshit_sikchi]

🤖 Introducing RL Zero 🤖: 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 interpretable link between RL agents and humans and achieving true cross-embodiment transfer.

[Siddhant Agarwal @agsidd10]

RLZero imagines the trajectory for the language prompt which is used to produce a policy through zero-shot imitation learning. Opens interesting avenues to apply our recent work on zero-shot RL, PSM (https://t.co/YoRzN1UcGc) (2/n)