Mark the day! On December 14th @ 08:00 ET, we start the Ecological Theory of Reinforcement Learning workshop @NeurIPSConf. An exciting day ahead! Thread (1/n).

This is happening in 10 minutes! Come join us for an exciting day!

That's it, that's the tweet! We are hoping you’ll have a wonderful time! We are excited to e-meet you next Tuesday! An event made with care by the great team of @linuxpotter @frt03_ @rl_agent @ElisevanderPol @shaneguML @pcastr @SimonShaoleiDu @marcgbellemare @svlevine ;) /n

And next, @shaneguML will announce BigGym: A Crowd-Sourcing Challenge for RL Environments and Behaviors. An exciting new challenge for RL research. Read more here: https://t.co/2NbbhFul3x.

Enjoy two exciting activities to close our workshop! First, a panel session with Professor Joelle Pineau, Tom Griffiths @cocosci_lab, and @pyoudeyer moderated by our own @shaneguML, Research Scientist @GoogleAI. Submit your question for our panelists at: https://t.co/jj6wKHbONN.

And next, @Mvandepanne from @UBC_CS discusses his work on “Curriculum-based Learning: An Effective Approach for Acquiring Dynamic Skills” ( https://t.co/ySJAqSWiR0) . Submit your questions for @Mvandepanne at https://t.co/uDZ13wDMcw.

After a short break, hear Professor Tom Griffiths @cocosci_lab @PrincetonCS & @PsychPrinceton, questioning our RL understanding with “Reinforcement learning: It's all in the mind” ( https://t.co/5mklH2b2Ih). If you have questions for Tom, submit them at: https://t.co/iACXhtSEXu.

Later, we have @yayitsamyzhang, Research Scientist @MetaAI and Post-doc @berkeley_ai, to discuss “Structural Assumptions for Better Generalization in Reinforcement Learning” ( https://t.co/TyYAAopN6X). Submit your questions for @yayitsamyzhang at:

Next, Masatoshi Uehara @cs_cornell, on “Representation Learning for Online and Offline RL in Low-rank MDPs” ( https://t.co/drWcI57VdF) & Kajetan Schweighofer @jkulinz on “Understanding the Effects of Dataset Composition on Offline Reinforcement Learning” ( https://t.co/CYWIJTnMLI).

Next, we will hear @WarrenBPowell, Emeritus Professor @PrincetonCS, present his latest work on “A Universal Framework for Reinforcement Learning” ( https://t.co/hyujWlrwku). Submit your questions for @WarrenBPowell at:

Session II starts at 13:00 ET with Professor Benjamin van Roy from @Stanford @DeepMind and a live talk on “Environment Capacity.”  If you have any questions during the talk, please submit them at:

Around noon ET, bring your lunch/dinner/breakfast to our Poster Session on GatherTown ( https://t.co/x4JpABNUuk) where you will interact with the authors of all accepted contributions (see here https://t.co/gDqDWRg3tn) and have sidechats with all the participants.

We will conclude the morning session with a great talk from Daniel Tanis from @DeepMind on “A Methodology for RL Environment Research.” ( https://t.co/kndgQnoe2x). Submit questions for Daniel at: https://t.co/BS6YpAxzX5.

Next, @agrimgupta92, from @stanford, will follow with “Embodied Intelligence via Learning and Evolution” ( https://t.co/wNat1i7iXh), a work recently featured on @NatureComms https://t.co/ZGvo2MTneL.

Next, more contributed talks follow. First, Andrew Zot @GeorgiaTech presents “Habitat 2.0: Training Home Assistants to Rearrange their Habitat” ( https://t.co/OmpBRzrahz)

We will also have the pleasure to hear @katjahofmann from @MSFTResearchCam: “Towards RL applications in video games and with human users.” ( https://t.co/QLA236kRde). Submit questions for @katjahofmann at: https://t.co/fcfIDXFMOk for the Live Q&A following the talk.

After the break, we will have @pyoudeyer, Head of @FlowersINRIA, with a Live talk on “Sculpting human-like AI systems by sculpting their social environments”. ( https://t.co/iETXEPVL9D) Submit your questions for Pierre-Yves on the day of the workshop at:

And @nisioti_eleni @FlowersINRIA on “Grounding an Ecological Theory of Artificial Intelligence in Human Evolution.” ( https://t.co/IWD0guiuJt) will present their contributions.

@EcoTheoryRL also features contributed talks. @ZiniuLi @cuhksz on “HyperDQN: A Randomized Exploration Method for Deep Reinforcement Learning,” ( https://t.co/r26QwxGsYP).

Next, we will hear Professor Joelle Pineau @mcgillu @Mila_Quebec @rllabmcgill @MetaAI, challenging our understanding of “What makes for an interesting RL Problem?” :( https://t.co/vtSlQDYqZw). Submit questions for Professor Pineau at:  https://t.co/NZXLwNeGmM for the Live Q&A

Starting 8:10 ET, we will have @ShaneLegg Co-Founder & Chief Scientist @DeepMind with a thought-provoking talk titled “Artificial What?” : ( https://t.co/OjksDIdZvP). Submit questions for @ShaneLegg at:  https://t.co/9Z5LMXSAg8 for the Live Q&A following the talk.