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Nathan Lichtlé @nathanlichtle

PhD @UCBerkeley (@berkeley_ai) nathanlichtle.com Paris Joined May 2019
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Nathan Lichtlé retweeted
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Berkeley AI Research @berkeley_ai

6 months ago

New Blog Post: Scaling Up Reinforcement Learning for Traffic Smoothing: A 100-AV Highway Deployment bair.berkeley.edu/blog/2025/03/2…

Nathan Lichtlé retweeted
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Eugene Vinitsky (@RLC) 🍒🦋 @EugeneVinitsky

7 months ago

This paper has everything: large-scale empirical testing, new benchmarks, and subsequent empirical recommendations that we think might make solving imperfect information games a little easier

nathanlichtle Profile Picture

Nathan Lichtlé @nathanlichtle

7 months ago

This paper has everything: large-scale empirical testing, new benchmarks, and subsequent empirical recommendations that we think might make solving imperfect information games a little easier

nathanlichtle Profile Picture

Nathan Lichtlé @nathanlichtle

7 months ago

Tic-Tac-Toe... but the opponent's moves are hidden. Can you outsmart our top RL agents? Play here: nathanlichtle.com/research/2p0s

nathanlichtle Profile Picture

Nathan Lichtlé @nathanlichtle

7 months ago

Tic-Tac-Toe... but the opponent's moves are hidden. Can you outsmart our top RL agents? Play here: nathanlichtle.com/research/2p0s https://t.co/5KED6nCoD6

Nathan Lichtlé retweeted
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Joseph Suarez 🐡 @jsuarez5341

10 months ago

x.com/i/article/1853…

Nathan Lichtlé retweeted
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Amaury Hayat @Amaury_Hayat

11 months ago

Can language models be trained to find solutions to as yet unsolved mathematical problems? The answer is yes! Check our new article 🙂 1/n

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François Charton @f_charton

11 months ago

Can language models be trained to find solutions to as yet unsolved mathematical problems? The answer is yes! Check our new article 🙂 1/n

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Nathan Lichtlé @nathanlichtle

a year ago

Another driving sim??

Nathan Lichtlé retweeted
EugeneVinitsky Profile Picture

Eugene Vinitsky (@RLC) 🍒🦋 @EugeneVinitsky

a year ago

We’re open-sourcing and arxiving GPUDrive, a GPU-accelerated 2.5D multi-agent driving simulator that runs at over a million FPS. Hundreds of scenes on one GPU means scalable multi-agent planning

Nathan Lichtlé retweeted
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Nathan Lichtlé @nathanlichtle

a year ago

Excited to share our work about the MVT, a large-scale highway field test for which we trained autonomous vehicles to smooth out traffic flow using deep reinforcement learning, then deployed our AI controllers onto 100 vehicles in busy morning traffic. Read more below! (1/n)

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