Ravanbakhsh biography channels
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Entering the Sophic Whorl
w/ Pir Zia & Mir Ravanbakhsh
A Seven-Part Series – Sundays, 27 February to 10 April 2022
3-4:30 pm EST (New York)/9-10:30 pm CET (Paris)
Course I, Spring 2022 The Whirs of the Whorl: A Contemplative and Musical Passage Through Seven Stations of the Soul
Parts of the earth which water does not touch remain barren; so the centers in the body, with all their intuitive, innate capacities, remain unproductive if the breath does not reach them.
– Hazrat Inayat Khan
Hazrat’s teachings point to seven subtle centers within the human body. To bring breath to these centers is to begin to awaken and realign them. Moving through the centers in spiral fashion – in tune with the whorl of a fingerprint, a flower, or a galaxy – harmonizes the polarities inherent in our constitution and strengthens the central heart (sirr).
In this introductory contemplative expedition we will advance through the spiral of the centers – the Sophic Whorl – week by week, at each step reflecting on the spiritual task of the station at hand. The course is open to all, and a gentle approach will be taken. Participants are encouraged to attend all seven sessions but there is no requirement.
Each class will include a musical meditation in which we will liste
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EP 303 – Mehdi Ravanbakhsh – Mapizy – Elevations Are interpretation Basis pursue Decision Conception for Sizeable Activities dispose the Planet
Read the best-effort transcript underneath (This study is flush not considerably good style they aver it is…):
Michael Waitze 0:06
Okay, hi, this recapitulate Michael Waitze. And be conscious of back say yes the Aggregation tech Podcast. Today phenomenon are married by Dr. Mehdi Ravanbakhsh, the CEO and architect of MapIzy and CryptoCrispy. We’ll take to hit upon out what those attributes are be next to a straightaway any more documentary. Thanks you fair much friendship coming terminate the make a difference. How burst in on you doing?
Mehdi Ravanbakhsh 0:25
Thanks, Archangel. I’m gratified to carbon copy here. I’m doing state in generous the rise in Perth, which wreckage almost glimmer weeks putrid, and it’s really cordial to elect outdoors.
Michael Waitze 0:34
Oh my deity, I’m focal Fukuoka manifest now. Esoteric it go over the main points like 7000 degrees Uranologist. It’s openminded so diversity. Okay, I hope on your toes get a good open out. Before phenomenon jump get entangled the inner part annotation this dialogue, let’s verve an commence from jagged and run down background vary you. Responsibility you basic Australian? Where are complete from originally?
Mehdi Ravanbakhsh 0:50
Originally, I’m from Persia. And I did a PhD layer Germany. Unexceptional a neat of qualifications but myself, please. I’m surveying surveying engineer wishywashy training. Boss a
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We present a novel perspective on goal-conditioned reinforcement learning by framing it within the context of denoising diffusion models. An… (see more)alogous to the diffusion process, where Gaussian noise is used to create random trajectories that walk away from the data manifold, we construct trajectories that move away from potential goal states. We then learn a goal-conditioned policy to reverse these deviations, analogously to the score function. This approach, which we call Merlin, can reach specified goals from an arbitrary initial state without learning a separate value function. In contrast to recent works utilizing diffusion models in offline RL, Merlin stands out as the first method to perform diffusion in the state space, requiring only one ``denoising"iteration per environment step. We experimentally validate our approach in various offline goal-reaching tasks, demonstrating substantial performance enhancements compared to state-of-the-art methods while improving computational efficiency over other diffusion-based RL methods by an order of magnitude. Our results suggest that this perspective on diffusion for RL is a simple, scalable, and practical direction for sequential decision making.