gebob19/natural-policy-gradient-reinforcement-learning

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MIT License
Created almost 3 years ago
Updated about 2 years ago

gebob19/natural-policy-gradient-reinforcement-learning

gebob19

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code for Understanding the Effects of Second-Order Approximations in Natural Policy Gradient Reinforcement Learning

uniswap-v3-flashswap

example code of uniswapV3 flash swap/loan with hardhat and ethersjs

introduction_to_normalizing_flows

Jupyter Notebook corresponding to 'Going with the Flow: An Introduction to Normalizing Flows'

Jupyter Notebook

uniswap-v3-token-swap

example code of uniswapV3 token swaps with hardhat and ethersjs

rl_with_jax

clear single-file JAX implementations of common RL algorithms

M2A

Code associated with "M2A: Motion Aware Attention for Accurate Video Action Recognition"

TFRecords_4_videos

💾 🔥 The fastest and easiest to use TFRecords formatter

REPTILE-Metalearning

Full implementation and re-production of the meta-learning algorithm REPTILE

Jupyter Notebook

frequency-interpreter

Dropout-Attention

Using layer-specific attention, set the least relevant word-vectors to zero.

Jupyter Notebook

naturalgradient

code for blog post https://gebob19.github.io/natural-gradient/

EyeTrackingPapers

CS294-112---UC-Berkeley-DRL

deep reinforcement learning assignments

TGS-Salt-Identification

Jupyter Notebook

RNN_stock_generation

Notebook associated with blog post

Jupyter Notebook