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Demonstrations of Loss of Plasticity and Implementation of Continual Backpropagation

A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.

Research code of ICCV 2021 paper "Mesh Graphormer"

The official gpt4free repository | various collection of powerful language models

Long-Term Evolution Project of Reinforcement Learning

An elegant PyTorch deep reinforcement learning library.

Documentation that simply works

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Code to implement transfer entropy (Shannon and Renyi)

FinRL: Financial Reinforcement Learning. 🔥

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

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PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKT…

A PyTorch Platform for Distributed RL

A simple blockchain in Javascript. For educational purposes only.

Tensor✖️ is a minimalistic robust library to build deep neural network models