PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
-
Updated
Mar 24, 2023 - Python
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
Code for paper "Computation Offloading Optimization for UAV-assisted Mobile Edge Computing: A Deep Deterministic Policy Gradient Approach"
A Pytorch implementation of the multi agent deep deterministic policy gradients (MADDPG) algorithm
PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL + D2RL and parallel Environments.
Solutions of assignments of Deep Reinforcement Learning course presented by the University of California, Berkeley (CS285) in Pytorch framework
A Universal Deep Reinforcement Learning Framework
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
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.
Implemenation of DDPG with numpy only (without Tensorflow)
Solving CartPole-v1 environment in Keras with Actor Critic algorithm an Deep Reinforcement Learning algorithm
PyTorch Implementation of Soft Actor-Critic Algorithm
Implementation of Reinforcement Algorithms from scratch
Reinforcement learning, Policy Gradient, Actor-Critic, AC, Agent-based Simulation, Simple-world
This Repository contains my projects!
A novel method to incorporate existing policy (Rule-based control) with Reinforcement Learning.
A very detailed project of Chrome Dinosaur in Deep RL for beginners
Implement soft actor critic in pytorch to play a game of balancing pendulum in openai gym.
Implementation of the actor critic algorithm for MountainCarContinuous-v0 OpenAI gym environment.
A reinforcement learning A3C implementation trained to play Super Mario Bros
Master MVA - Reinforcement Learning Project
Add a description, image, and links to the actor-critic-algorithm topic page so that developers can more easily learn about it.
To associate your repository with the actor-critic-algorithm topic, visit your repo's landing page and select "manage topics."