#Sac
Showing 18 of 18 repositories tagged #sac, ranked by stars
An elegant PyTorch deep reinforcement learning library.
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
Clean, Robust, and Unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)
Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
Python library for Reinforcement Learning.
JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.
This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Dueling Network, DDPG, SAC, A2C, PPO, TRPO. (More algorithms are still in progress)
CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning
🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2
PyTorch implementation of Soft Actor-Critic (SAC)
lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.
A comprehensive guide to Reinforcement Learning
A Python package for accessing and processing NIED Hi-net seismic data.
Proto-RL: Reinforcement Learning with Prototypical Representations
JAX implementations of core Deep RL algorithms
Collection of Deep Reinforcement Learning Algorithms implemented in PyTorch.
OpenAI Gym environment solutions using Deep Reinforcement Learning.
Deep Reinforcement Learning for Trading