Adam Jelley
@AdamJelley2
Followers
129
Following
215
Media
0
Statuses
22
PhD Student in Reinforcement Learning and World Models @EdinburghUni
Edinburgh, UK
Joined September 2020
RT @rlvg2025: We’re excited to announce our next speaker: Roberta Raileanu (@robertarail) from @GoogleDeepMind!. Roberta will discuss NetHa….
0
5
0
RT @rlvg2025: We’re excited to announce our first speaker: James MacGlashan from Sony AI! 🚀. James led the development of GT Sophy, a super….
0
1
0
RT @rlvg2025: One week left to submit your contributions for our workshop @RL_Conference. gotta go fast! ⏰🎮. We welcome submissions on vi….
0
4
0
RT @liorcohen5s: Introducing M³: A 𝗠odular 𝗪orld 𝗠odel over streams of tokens for sample-efficient RL 🌍🤖. M³ achieves state-of-the-art perf….
0
6
0
RT @katjahofmann: Today in Nature: our research on world and human action models (WHAM) - generative ai models of video games, aimed toward….
nature.com
Nature - A state-of-the-art generative artificial intelligence model of a video game is introduced to allow the support of human creative ideation, with the analysis of user study data highlighting...
0
55
0
RT @LukasSchaefer96: Awesome to see this released and out in the world now. Huge congrats to the entire team!. It was super cool to see the….
0
2
0
RT @Tea_Pearce: 1/ Does scaling pre-training 📈 improve embodied AI 🤖as effectively and predictably as it is does LLMs? .
0
23
0
RT @huzzahazzah: You can now play fully generative games on an interactive video model, and we’ve collected together them together at https….
0
7
0
RT @EloiAlonso1: Try 💎 DIAMOND’s Counter Strike world model directly in your browser!. → ←. How long can you stay i….
0
12
0
RT @Tea_Pearce: DIAMOND world model now in MarioKart! 💖 awesome to see the community already trying new things with the code base ( https://….
0
7
0
RT @Tea_Pearce: Awesome to see so many people getting excited about the CSGO dataset coming to life 💖 ( 3 yrs ago….
0
7
0
We applied 💎 DIAMOND to CS:GO - still amazed by how well diffusion models adhere to conditioning, generalize, and their flexibility at inference time.
Ever wanted to play Counter-Strike in a neural network?. These videos show people playing (with keyboard & mouse) in 💎 DIAMOND's diffusion world model, trained to simulate the game Counter-Strike: Global Offensive. 💻 Download and play it yourself → 🧵
1
0
25
RT @Tea_Pearce: Super proud to be part of two accepted NeurIPS papers 🥳.1) Stabilizing GAIL with Control Theory - l….
0
2
0
RT @micheli_vincent: To build the next generation of intelligent agents, developing efficient world models is essential. We introduce Δ-IR….
0
50
0
RT @sillinuss: Check out our new work on NAS search spaces!.We have created einspace, a new expressive search space that unifies many archi….
0
19
0
Thank you to @EloiAlonso1 for the countless hours of fun and hard work together on this project over the last year, and to co-authors @micheli_vincent, Anssi Kanervisto, @AmosStorkey, @Tea_Pearce and @francoisfleuret ! 💎.
We introduce DIAMOND (DIffusion As a Model Of eNvironment Dreams), a reinforcement learning agent trained entirely in a diffusion world model. 💎. Paper: Code: (1/n) 🧵👇
0
0
10
RT @EloiAlonso1: We introduce DIAMOND (DIffusion As a Model Of eNvironment Dreams), a reinforcement learning agent trained entirely in a di….
0
112
0
RT @francoisfleuret: TL;DR: We designed a diffusion world model. Frame prediction is more accurate and improves sota on Atari for an RL age….
0
50
0
RT @UoE_Agents: It's done: finished textbook *Multi-Agent Reinforcement Learning* with @f_christianos @LukasSchaefer96. Nearly 100 pages bi….
marl-book.com
Textbook published by MIT Press (2024)
0
69
0