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#

actor-critic-algorithm

Here are 39 public repositories matching this topic...

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

  • UpdatedMar 24, 2023
  • Python

Code for paper "Computation Offloading Optimization for UAV-assisted Mobile Edge Computing: A Deep Deterministic Policy Gradient Approach"

  • UpdatedJan 7, 2024
  • Python

A Pytorch implementation of the multi agent deep deterministic policy gradients (MADDPG) algorithm

  • UpdatedApr 8, 2021
  • Python

PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL + D2RL and parallel Environments.

  • UpdatedFeb 24, 2021
  • Python

Solutions of assignments of Deep Reinforcement Learning course presented by the University of California, Berkeley (CS285) in Pytorch framework

  • UpdatedNov 21, 2022
  • Python

强化学习算法库,包含了目前主流的强化学习算法(Value based and Policy based)的代码,代码都经过调试并可以运行

  • UpdatedNov 2, 2023
  • Python

PyTorch implementation of D4PG with the SOTA IQN Critic instead of C51. Implementation includes also the extensions Munchausen RL and D2RL which can be added to D4PG to improve its performance.

  • UpdatedApr 7, 2021
  • Python

PyTorch Implementation of Soft Actor-Critic Algorithm

  • UpdatedSep 13, 2020
  • Python

Reinforcement Learning - PPO (Proximal Policy Optimization) Implementation to Pong Game

  • UpdatedNov 16, 2023
  • Jupyter Notebook

Reinforcement learning, Policy Gradient, Actor-Critic, AC, Agent-based Simulation, Simple-world

  • UpdatedJul 31, 2020
  • Python

Project Solutions for my Deep Reinforcement Learning Nanodegree at Udacity

  • UpdatedMar 13, 2019
  • Jupyter Notebook

Control Methods for Dynamic Systems based on Neural Networks

  • UpdatedJun 22, 2024
  • Jupyter Notebook

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