Topic: sac Goto Github
Some thing interesting about sac
Some thing interesting about sac
sac,Paddle-RLBooks is a reinforcement learning code study guide based on pure PaddlePaddle.
Organization: agentmaker
sac,Massively Parallel Deep Reinforcement Learning. 🔥
Organization: ai4finance-foundation
Home Page: https://ai4finance.org
sac,Diversity is All You Need: Learning Skills without a Reward Function in PyTorch.
User: alirezakazemipour
Home Page: https://sites.google.com/view/diayn/
sac,Reinforcement learning algorithms implemented for Tensorflow 2.0+ [DQN, DDPG, AE-DDPG, SAC, PPO, Primal-Dual DDPG]
User: anita-hu
sac,Deep Reinforcement Learning in C#
User: asieradzk
sac,PyTorch implementation of the Offline Reinforcement Learning algorithm CQL. Includes the versions DQN-CQL and SAC-CQL for discrete and continuous action spaces.
User: by571
sac,Collection of Deep Reinforcement Learning Algorithms implemented in PyTorch.
User: by571
sac,PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL + D2RL and parallel Environments.
User: by571
sac,A PyTorch library for building deep reinforcement learning agents.
User: cpnota
sac,A library for ready-made reinforcement learning agents and reusable components for neat prototyping
User: cyoon1729
sac,Implementations of Deep Reinforcement Learning Algorithms and Bench-marking with PyTorch
User: deepanshut041
Home Page: https://deepanshut041.github.io/Reinforcement-Learning/
sac,DrQ: Data regularized Q
User: denisyarats
Home Page: https://sites.google.com/view/data-regularized-q
sac,Proto-RL: Reinforcement Learning with Prototypical Representations
User: denisyarats
sac,PyTorch implementation of Soft Actor-Critic (SAC)
User: denisyarats
sac,PyTorch implementation of deep reinforcement learning algorithms
User: dongminlee94
sac,JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"
User: evgenii-nikishin
sac,JAX implementations of core Deep RL algorithms
User: henry-prior
sac,Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...
User: iffix
sac,JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.
User: ikostrikov
sac,Deep Reinforcement Learning for Continuous Control in PyTorch
User: jakegrigsby
sac,Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".
User: kengz
Home Page: https://slm-lab.gitbook.io/slm-lab/
sac,🚀 A fast safe reinforcement learning library in PyTorch
User: liuzuxin
Home Page: https://fsrl.readthedocs.io
sac,Basic reinforcement learning algorithms. Including:DQN,Double DQN, Dueling DQN, SARSA, REINFORCE, baseline-REINFORCE, Actor-Critic,DDPG,DDPG for discrete action space, A2C, A3C, TD3, SAC, TRPO
User: lxzgordon
sac,🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2
User: marload
sac,AI RC Car Agent that using deep reinforcement learning on Jetson Nano
User: masato-ka
sac,CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning
User: mishalaskin
sac,RAD: Reinforcement Learning with Augmented Data
User: mishalaskin
sac,Python library for Reinforcement Learning.
Organization: mushroomrl
sac,OpenAI Gym environment solutions using Deep Reinforcement Learning.
User: nickkaparinos
sac,A Torch Based RL Framework for Rapid Prototyping of Research Papers
User: philtabor
sac,SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning
User: pokaxpoka
sac,32 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each project is provided with a detailed training log.
User: rafael1s
sac,A Python package for accessing and processing NIED Hi-net seismic data.
User: seisman
Home Page: https://seisman.github.io/HinetPy
sac,SAC参考手册中文版
User: seisman
Home Page: https://seisman.github.io/SAC_Docs_zh
sac,PPO, DDPG, SAC implementation on mujoco environment
User: seolhokim
sac,Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
User: seungeunrho
sac,Reinforcement Learning Algorithms Based on PyTorch
User: stepneverstop
Home Page: https://stepneverstop.github.io
sac,Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math
User: sudharsan13296
Home Page: https://www.amazon.com/dp/1839210680/ref=cm_sw_r_tw_dp_x_0HRDFbW4MN11H
sac,PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
User: sweetice
sac,An elegant PyTorch deep reinforcement learning library.
Organization: thu-ml
Home Page: https://tianshou.org
sac,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)
User: tianhongdai
sac,Simple (but often Strong) Baselines for POMDPs in PyTorch, ICML 2022
User: twni2016
Home Page: https://sites.google.com/view/pomdp-baselines
sac,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)
User: xinjinghao
sac,TD3, SAC, IQN, Rainbow, PPO, Ape-X and etc. in TF1.x
User: xlnwel
sac,深度强化学习路径规划, SAC-Auto路径规划, Soft Actor-Critic算法, SAC-pytorch,激光雷达Lidar避障,激光雷达仿真模拟,Adaptive-SAC
User: zhaohaojie1998
sac,lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.
User: zuoxingdong
sac,This is a reinforcement learning algorithm library. The code takes into account both performance and simplicity, with little dependence.
User: zyunfeii
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