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Author: kgalias

X: Deep Reinforcement Learning from Human Preferences

2017-07-242017-07-24 kgaliasLeave a comment

The tenth meeting took place on the 24th of July at 14:15 in room 0006 at the Faculty of Mathematics and Computer Science of the Jagiellonian University. Chris Pasek was speaking about a recent OpenAI & DeepMind paper: Deep reinforcement learning from human preferences. The recording (in Polish) is available below.

https://youtu.be/CgOz79P88ok

IX: Convergence of Instrumental Goals

2017-06-132017-06-14 kgaliasLeave a comment

The ninth meeting took place on the 12th of June at 14:15 in room 0006 at the Faculty of Mathematics and Computer Science of the Jagiellonian University. Chris Pasek was speaking about a formalization of an argument for the ubiquity of certain goals in superintelligent agents, basing on Formalizing Convergent Instrumental Goals. The recording (in Polish) is available below.

VIII: Reflective Oracles

2017-06-052017-06-05 kgaliasLeave a comment

The eigth meeting took place on the 5th of June at 14:15 in room 0006 at the Faculty of Mathematics and Computer Science of the Jagiellonian University. Tomek Kisielewski was speaking about reflective oracles, basing on Reflective Oracles: A Foundation for Classical Game Theory and Reflective Variants of Solomonoff Induction and AIXI. The recording (in Polish) is available below.

VII: AI Policy

2017-05-232017-05-25 kgaliasLeave a comment

The seventh meeting took place on the 22nd of May at 14:15 in room 0006 at the Faculty of Mathematics and Computer Science of the Jagiellonian University. Marcin Woźniak was speaking about AI policy, partly basing on the papers Policy Desiderata in the Development of Machine Superintelligence and Strategic Implications of Openness in AI Development. The recording (in Polish) is available below and the mind map here.

VI: Safely Interruptible Agents

2017-05-152017-05-17 kgaliasLeave a comment

The sixth meeting took place on the 15th of May at 14:15 in room 0006 at the Faculty of Mathematics and Computer Science of the Jagiellonian University. Damian Leśniak was speaking about safely turning off agents in the reinforcement learning framework based on the paper Safely Interruptible Agents. The recording (in Polish) is available below.

V: An Introduction to Reinforcement Learning

2017-05-092017-05-19 kgaliasLeave a comment

The fifth meeting took place on the 8th of May at 14:15 in room 0006 at the Faculty of Mathematics and Computer Science of the Jagiellonian University. Igor Sieradzki talked about the basic ideas of reinforcement learning. The recording (in Polish) is available below, and the slides here.

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