MIDI Lab

The Machine Intelligence and Decision-making through Interaction Lab @UTAustin led by @yayitsamyzhang. Account run by students.

[Harshit Sikchi @harshit_sikchi]

Dual RL has been accepted as a spotlight (top 5%) in ICLR 24! Detailed post soon

[Amy Zhang @yayitsamyzhang]

Excited to be at NeurIPS tomorrow! A set of things I will be doing while there you should stop by for: Monday - mentoring at WiML on the topic of reinforcement learning 1/n

[MIDI Lab @lab_midi]

Check out this new work led by @agsidd10! Looking forward to #NeurIPS2023 !!

[Siddhant Agarwal @agsidd10]

In domains with sparse rewards, reward shaping is well known to speed up learning by providing a dense learning signal.
We introduce an alternate method, f-Policy Gradients (https://t.co/mNExlKHf1r), to obtain optimal policies through distribution matching. (1/n)

#NeurIPS2023