Contains PyTorch Implementation of the following off policy actor critic algorithms
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Updated
Aug 5, 2021 - Python
Contains PyTorch Implementation of the following off policy actor critic algorithms
A general deep reinforcement learning frames for atari games by pytorch.
An implementation of the latent-conditioned soft actor-critic algorithm by Osa et al. (2021) used for diverse skill learning.
Adversarial Patch defense using SegmentAndComplete (SAC) & Masked AutoEncoder (MAE)
Analysis scripts for the manuscript "Spindle checkpoint silencing at kinetochores at submaximal microtubule occupancy" by Etemad et al. "
HomeBrew formulae for building and running SaC on MacOS
Contains deep reinforcement learning algorithms I have implemented.
M5Stack Dial Capacitive Touch Analog Joystick for Sony Access Controller
Funções de Sistemas de Financiamento comparação Gráfica - SAC, PRICE, SAA - Matplotlib
Experiments with drone control and reinforcement learning.
Bipedal Walker agent trained using SAC model on OpenAI Gym Environment.
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Re-implementation of Soft-Actor-Critic (SAC) in TensorFlow 2.0
PROJECT MIGRATED TO CODEBERG - Reinforcement Learning in Multiplicative Domains
Learning to race on F1 tracks using Deep Reinforcement Learning
Jaxplorer is a Jax reinforcement learning (RL) framework for exploring new ideas.
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