actor-critic-algorithm

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.

PyTorch implementations of algorithms from "Reinforcement Learning: An Introduction by Sutton and Barto", along with various RL research papers.

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

A Universal Deep Reinforcement Learning Framework

A trading bitcoin agent was created with deep reinforcement learning implementations.

Chapter notes and exercise solutions for Reinforcement Learning: An Introduction by Sutton and Barto

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)

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

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 - PPO (Proximal Policy Optimization) Implementation to Pong Game

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

Project Solutions for my Deep Reinforcement Learning Nanodegree at Udacity

A novel method to incorporate existing policy (Rule-based control) with Reinforcement Learning.