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Posts by Ed Clark

Makes a lot of sense! I should probably stop wondering about this and just put out some interesting academic content then!

1 year ago 0 0 1 0

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

1 year ago 2 0 3 0

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?

1 year ago 0 0 0 0

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.

1 year ago 0 0 0 0

Starting to debate getting dual providers but can't quite justify the cost. Starlink as back up seems a little steep for redundancy too! So I'm at the whim of virgin media for now....

1 year ago 0 0 1 0

Oooh I might go for a feeder on the window!

1 year ago 0 0 0 0

Thank you! Still need to put up my whiteboard! Currently in storage

1 year ago 1 0 0 0

Yep was very conscious about lighting so put a Philips hue ceiling light in for adjustability and a SAD lamp to fend off the feels

1 year ago 2 0 0 0
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Adorable! But sadly not with my horrific allergies... However a little lamp for the tortoise to come bask under could work

1 year ago 2 0 1 0

I've built my own desk at a nice sitting height, but was thinking of adding an optional standing riser!
And a full teapot and biscuit tin is non optional

1 year ago 2 0 0 0

Just starting to build out my home office to have a nice space to push through the end of my PhD. What's your number one item to have in it? Can be anything from plants to monitors!
๐ŸŒŠ๐Ÿงช
#phdlife
#academia

1 year ago 6 2 6 0

All the different kits and bikes before the official change over in the new year! Love seeing the mixes of the new signings integration.

1 year ago 2 0 0 0

Unfortunately I have broken the illusion of childhood that one can have snacks with no prior work... It has ruined me

1 year ago 1 0 0 0

Routine is currently, sit and look at my outline in bullet points. Hate most of it, procrastination for the rest of the day ๐Ÿ˜‚

1 year ago 0 0 1 0

Great idea giving a talk about it! Might help me figure out the figures I actually want.

1 year ago 1 0 0 0

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!
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1 year ago 22 2 11 0

@carlosduartephd.bsky.social (I hope this is the right @ for you!)

1 year ago 1 0 1 0
Preview
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. ...

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.
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www.science.org/doi/10.1126/...

1 year ago 31 10 2 1
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e introduce the effective horizon, a property of
MDPs that controls how difficult RL is. Our analysis is mo-
tivated by Greedy Over Random Policy (GORP), a simple
Monte Carlo planning algorithm (left) that exhaustively ex-
plores action sequences of length k and then uses m random
rollouts to evaluate each leaf node. The effective horizon
combines both k and m into a single measure. We prove
sample complexity bounds based on the effective horizon that
correlate closely with the real performance of PPO, a deep
RL algorithm, on our BRIDGE dataset of 155 deterministic
MDPs (right).

e introduce the effective horizon, a property of MDPs that controls how difficult RL is. Our analysis is mo- tivated by Greedy Over Random Policy (GORP), a simple Monte Carlo planning algorithm (left) that exhaustively ex- plores action sequences of length k and then uses m random rollouts to evaluate each leaf node. The effective horizon combines both k and m into a single measure. We prove sample complexity bounds based on the effective horizon that correlate closely with the real performance of PPO, a deep RL algorithm, on our BRIDGE dataset of 155 deterministic MDPs (right).

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

1 year ago 150 29 8 2

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.
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1 year ago 4 1 1 0

Brilliant thank you I'll check it out!

1 year ago 1 0 0 0

Do you have a link to the whale use index paper? I'm interested at how they account for detection bias.

1 year ago 0 0 1 0

I've considered doing it but I use an acoustic propagation model in my environment which I think I'd also have to re-write. Wonder if an llm would have a go at refactoring into being jax compatible

1 year ago 0 0 1 0

Thank you for this starter pack! Would you be able to add me to it? I look at how we deploy and manage ocean sensing platforms for passive acoustic monitoring

1 year ago 0 0 1 0

These are amazing! Do you have an online store?

1 year ago 1 0 1 0

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

1 year ago 1 1 2 0

Would love to be added! Great to see so many UK researchers on here

1 year ago 1 0 0 0
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Preview
Reinforcement Learning The significantly expanded and updated new edition of a widely used text on reinforcement learning, one of the most active research areas in artificial intel...

The best intro to RL book there is:
mitpress.mit.edu/978026203924...

1 year ago 6 0 0 0

What's the performance gains like between gym and gymnax?

1 year ago 0 0 1 0

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

1 year ago 12 0 2 0