Does anybody know the level of interaction a general account on BlueSky has? Despite over 1000 followers I feel it's a lot lower than many other social platforms. Do you think this is a result of a large influx of non 'organic' growth? #meta #bluesky #askbluesky
Ed Clark
@clarkai.bsky.social
PhD student studying AI for tactical decision making in complex ocean environments @uniofbath.bsky.social Distinctly amateur cyclist, triathlete, sailor, climber https://scholar.google.com/citations?user=WE-zZMoAAAAJ&hl=en
Is there a way to shift my doomscrolling from Instagram to Bluesky? I know I'd end up more informed and positive from 10 minutes on here than on insta. Maybe some good suggestions of random fun accounts to follow?
Wallace and Grommit serving up some great PSA's on AI and automation. Doesn't just seem to play out the AI bad trope and shows to a general audience how it can go wrong quickly.
Sits down to write paper... 6 months later. This paper hasn't written itself yet no matter how many times I ask nicely... What are your tips for breaking through writing block and pushing out your paper? Could really do with some advice from the academic community! 🧪🌊
Our oceans aren't quiet and they're getting louder. A great paper on how important sound is in the ocean and how humans are impacting it. This is not only important for the biosphere but louder oceans make bad actors harder to detect. 🧪 🌊 www.science.org/doi/10.1126/...
The soundscape of the Anthropocene ocean
Sound travels faster and farther in water than in air. Over evolutionary time, many marine organisms have come to rely on sound production, transmission, and reception for key aspects of their lives. ...
science.org
Kind of a broken record here but proceedings.neurips.cc/paper_files/... is totally fascinating in that it postulates two underlying, measurable structures that you can use to assess if RL will be easy or hard in an environment
For those doing lit reviews, be aware that Scopus can now search for pre prints as well! Great for getting visibility of what's on the horizon in your field. 🧪
The beginnings of a starter pack for UK-based PhD students. Please let me know if you'd like to be added! go.bsky.app/8Uj4vn7
What's your reinforcement learning stack? I use: - Custom gymnasium env - Stable baselines 3 - RL library - PPO - Algorithm - NatureCNN - Model network - wandb - run tracking - wandb sweeps - hyper-parameter optimization - tensorboard - offline tracking #AI #DRL #RL #Reinforcementlearning
Yesterday's wintery work views. Having a large window right next to the desk has helped massively with fighting back the SAD this year. Take this post as your reminder to get some sunshine and fresh air today.
Another must read for reinforcement learning. Answers many key questions for researchers; -Do I need multiple training runs? -How do I report model confidence? -And a great section on common mistakes to fend off reviewer 2 🧪 #DRL #reinforcementlearning #AI arxiv.org/abs/2304.01315
Empirical Design in Reinforcement Learning
Empirical design in reinforcement learning is no small task. Running good experiments requires attention to detail and at times significant computational resources. While compute resources available p...
arxiv.org
One of my favourite DRL papers. OpenAI five, it highlights just how much compute and time is needed for training complex capable agents. Remember this is learning in a human coded environment . Training agents for real world scenarios is even more challenging. 🧪 #RL #AI arxiv.org/abs/1912.06680
Dota 2 with Large Scale Deep Reinforcement Learning
On April 13th, 2019, OpenAI Five became the first AI system to defeat the world champions at an esports game. The game of Dota 2 presents novel challenges for AI systems such as long time horizons, im...
arxiv.org
Make sure your DRL work is actually useful. A brilliant paper outlining all the things you should be considering when publishing DRL results arxiv.org/abs/1709.06560 #Reinforcementlearning #DRL #AI 🧪
Deep Reinforcement Learning that Matters
In recent years, significant progress has been made in solving challenging problems across various domains using deep reinforcement learning (RL). Reproducing existing work and accurately judging the ...
arxiv.org
One of the most useful blog posts to read before messing around with PPO: iclr-blog-track.github.io/2022/03/25/p... #Reinforcementlearning #AI #RL
The 37 Implementation Details of Proximal Policy Optimization · The ICLR Blog Track
iclr-blog-track.github.io
Feel free to interact with me about: 🧪 - Reinforcement learning - Oceanography - Acoustic modelling - AI decision making Or more casually: - cycling 🚴 - sailing ⛵ - triathlon 🏊♂️ 🚴🏃 - climbing 🧗♀️
#introduction I'm a PhD researcher at the University of Bath looking into AI tactical decision making. I focus on using environmental data and digital twins in reinforcement learning to train models to make tactical decisions in challenging ocean environments. scholar.google.com/citations?us...
Edward Clark
PhD Student, University of Bath - Cited by 7 - reinforcement learning - underwater acoustics - passive sonar
scholar.google.com