Puffing up reinforcement learning

🧠 code-awareness

Implementations and write-ups for all programming exercises in RL: An Introduction 2nd edition by Sutton and Barto

Gas Costs from Ethereum Yellow Paper

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Vanity address generator for Ethereum

My implementation of DeepMind's Perceiver

Truncated Normal Distribution in PyTorch

PyTorch implementation of neural style transfer algorithm

Code for the paper "Understanding RL Vision"

A library for lattice-based multiparty homomorphic encryption in Go

A collection of reference environments for offline reinforcement learning

Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.

An engine to create high performance multi-agent grid world environments with hundreds or thousands of agents, along with a set of reference environments

Differentiable architecture search for convolutional and recurrent networks

Paired Open-Ended Trailblazer (POET) and Enhanced POET

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.