We regularly discuss recent papers in RL, MARL & related
https://edinburgh-rl.github.io/reading-group
We are continuing our NeurIPS series. Felix Chalumeau from InstaDeep will present his oral paper on how inference strategies can boost performance in MARL. 🚀
Papers:
arxiv.org/abs/2505.21236
Meeting:
bit.ly/488sD6n
We are continuing our NeurIPS series. Felix Chalumeau from InstaDeep will present his oral paper on how inference strategies can boost performance in MARL. 🚀
Papers:
arxiv.org/abs/2505.21236
Meeting:
bit.ly/488sD6n
We are starting our NeurIPS series with Sable and Oryx, sequence models for scalable multi-agent coordination from the RL Research Team at InstaDeep. 🚀
Papers:
- Sable: bit.ly/3Lme7jH
- Oryx: bit.ly/47GJb4T
Meeting:
- bit.ly/3JoEbtU
We are starting our NeurIPS series with Sable and Oryx, sequence models for scalable multi-agent coordination from the RL Research Team at InstaDeep. 🚀
Papers:
- Sable: bit.ly/3Lme7jH
- Oryx: bit.ly/47GJb4T
Meeting:
- bit.ly/3JoEbtU
Speaker: Sebastian Griesbach
Title: Learning to Explore in Diverse Reward Settings via Temporal-Difference-Error Maximization 🗺️ (RLJ)
Paper: rlj.cs.umass.edu/2025/papers/...
Meeting link: teams.microsoft.com/l/meetup-joi...
Speaker: Sebastian Griesbach
Title: Learning to Explore in Diverse Reward Settings via Temporal-Difference-Error Maximization 🗺️ (RLJ)
Paper: rlj.cs.umass.edu/2025/papers/...
Meeting link: teams.microsoft.com/l/meetup-joi...
Speakers: Olya Mastikhina and Dhruv Sreenivas (University of Montreal & Mila - Quebec AI Institute)
Title: Optimistic critics can empower small actors🦸
Details: edinburgh-rl.github.io/reading-group
Speakers: Olya Mastikhina and Dhruv Sreenivas (University of Montreal & Mila - Quebec AI Institute)
Title: Optimistic critics can empower small actors🦸
Details: edinburgh-rl.github.io/reading-group
Speaker: Alex Lewandowski
Title: The World Is Bigger: A Computationally-Embedded Perspective on the Big World Hypothesis 🌍
Details: edinburgh-rl.github.io/reading-group
Speaker: Alex Lewandowski
Title: The World Is Bigger: A Computationally-Embedded Perspective on the Big World Hypothesis 🌍
Details: edinburgh-rl.github.io/reading-group
Speaker: Cam Allen (Postdoc, UC Berkeley)
Title: The Agent Must Choose the Problem Model
Details: edinburgh-rl.github.io/reading-group
Speaker: Cam Allen (Postdoc, UC Berkeley)
Title: The Agent Must Choose the Problem Model
Details: edinburgh-rl.github.io/reading-group
Paper: Simplifying Deep Temporal Difference Learning
Check out our website for full info edinburgh-rl.github.io/reading-grou...
Paper: Simplifying Deep Temporal Difference Learning
Check out our website for full info edinburgh-rl.github.io/reading-grou...
🗳️ Propose papers: github.com/edinburgh-rl...
📺 Past recordings: www.youtube.com/@RL_And_Agen...
🗳️ Propose papers: github.com/edinburgh-rl...
📺 Past recordings: www.youtube.com/@RL_And_Agen...
We organise regular meetings to discuss recent papers in Reinforcement Learning (RL), Multi-Agent RL and related areas (open-ended learning, LLM agents, robotics, etc).
Meetings take place online and are open to everyone 😊
We organise regular meetings to discuss recent papers in Reinforcement Learning (RL), Multi-Agent RL and related areas (open-ended learning, LLM agents, robotics, etc).
Meetings take place online and are open to everyone 😊