GPT-3T
EfficientZero
GPT-3T | EfficientZero | |
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7 | 9 | |
11 | 829 | |
- | - | |
5.3 | 0.0 | |
about 1 year ago | 5 months ago | |
Python | Python | |
MIT License | GNU General Public License v3.0 only |
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GPT-3T
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[D] GPT-3T: Can we train language models to think further ahead?
Link to the repo here
- [P] GPT-3T: Can we train language models to think ahead?
- GPT-3T: Can we train language models to think further ahead?
- GPT-3T: Can we train language models think ahead?
- [P] GPT-3T: Can language models think further ahead?
- [Experiment] GPT-3T: Can language models think further ahead?
- [Experiment] Can language models think further ahead?
EfficientZero
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[D] GPT-3T: Can we train language models to think further ahead?
Here's an algorithm that is more sample efficient : https://github.com/YeWR/EfficientZero
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MuZero learns to play Teamfight Tactics
Use multiprocessing to have more GPU workers could help. My code based on EfficientZero https://github.com/YeWR/EfficientZero is utilizing CPUs and GPUs to 90%. It uses Ray for multiprocessing and splits Reanalyze into CPU and GPU workers to maximize resource utilization. By the way, it's not converging to optimal policy well: it gets stuck at 50% optimal episode return at with a small amount of training. Have you had this issue before?
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[R] Will we run out of data? An analysis of the limits of scaling datasets in Machine Learning - Epochai Pablo Villalobos et al - Trend of ever-growing ML models might slow down if data efficiency is not drastically improved!
Found relevant code at https://github.com/YeWR/EfficientZero + all code implementations here
- Anyone found any working replication repo for MuZero?
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[D] Most important AI Paper´s this year so far in my opinion + Proto AGI speculation at the end
Mastering Atari Games with Limited Data – EfficientZero ( Human sample -efficiency! ) Paper: https://arxiv.org/abs/2111.00210 Lesswrong article about the paper: https://www.lesswrong.com/posts/mRwJce3npmzbKfxws/efficientzero-how-it-works Github: https://github.com/YeWR/EfficientZero
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Waymo To Use Chinese Geely Robotaxi Body. This Should Send Shivers Into Western OEMs
Have you seen https://github.com/YeWR/EfficientZero EfficientZero yet? This agent is able to solve problems with unknown rules, where the agent starts only with information about the shape of the inputs and reward feedback. With superhuman ability - it needs less training data than humans do - and SoTA trumping results on the problems it has been tried on. (various atari/Go/chess/etc)
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Why does EfficientZero use SimSiam for temporal consistency instead of MAE / MSE?
Open-source codebase for EfficientZero - am I missing something or the repo is empty?
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[D] Paper Explained - EfficientZero: Mastering Atari Games with Limited Data (Full Video Analysis)
Code: https://github.com/YeWR/EfficientZero
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"EfficientZero: Mastering Atari Games with Limited Data", Ye et al 2021 (beating humans on ALE-100k/2h by adding self-supervised learning to MuZero-Reanalyze)
Code for https://arxiv.org/abs/2111.00210 found: https://github.com/YeWR/EfficientZero
What are some alternatives?
DeepSpeed - DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
XMem - [ECCV 2022] XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model
flash-attention-jax - Implementation of Flash Attention in Jax
flash-attention - Fast and memory-efficient exact attention
RHO-Loss
CodeRL - This is the official code for the paper CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning (NeurIPS22).
msn - Masked Siamese Networks for Label-Efficient Learning (https://arxiv.org/abs/2204.07141)
perceiver-ar
google-research - Google Research
mctx - Monte Carlo tree search in JAX
minihack - MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research
omega - A number of agents (PPO, MuZero) with a Perceiver-based NN architecture that can be trained to achieve goals in nethack/minihack environments.