”sac“ 的搜索结果

Soft Actor-Critic

Confetti! Who doesn't like confetti?

#计算机科学#Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.

Reference BLEU implementation that auto-downloads test sets and reports a version string to facilitate cross-lab comparisons

#算法刷题#PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

#计算机科学#PyTorch implementation of Soft Actor-Critic (SAC)

PyTorch implementation of SAC-Discrete.

SACD ripping software using a PS3

SRCL is an open-source React component and style repository that helps you build web applications, desktop applications, and static websites with terminal aesthetics.

An AntiCheat software for PockeMine-MP made to detect unfair gamplay advantages.

Conservative Q Learning on top of SAC

PPO, DDPG, SAC implementation on mujoco environment

PyTorch implementation of Soft Actor-Critic(SAC).

LVPP sigma-profile database + COSMO-SAC parametrizations

#计算机科学#PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)

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

SAC参考手册中文版

Train auto_car in CARLA simulator with RL algorithms(SAC).

High-quality single-file implementations of SOTA Offline and Offline-to-Online RL algorithms: AWAC, BC, CQL, DT, EDAC, IQL, SAC-N, TD3+BC, LB-SAC, SPOT, Cal-QL, ReBRAC

Self-supervised Augmentation Consistency for Adapting Semantic Segmentation (CVPR 2021)

在turtlebot3，pytorch上使用DQN,DDPG,PPO,SAC算法，在gazebo上实现仿真。Use DQN, DDPG, PPO, SAC algorithm on turtlebot3, pytorch on turtlebot3, pytorch, and realize simulation on gazebo. Use DQN, DDPG, PPO, SAC algorit...

Algorithm that combines QMIX with SAC for Multi-Agent Reinforcement Learning.

Concise pytorch implements of DRL algorithms, including REINFORCE, A2C, DQN, PPO(discrete and continuous), DDPG, TD3, SAC.

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

Reinforcement learning algorithms implemented for Tensorflow 2.0+ [DQN, DDPG, AE-DDPG, SAC, PPO, Primal-Dual DDPG]