There are 3 repositories under actor-critic-algorithm topic.
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
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
A trading bitcoin agent was created with deep reinforcement learning implementations.
Causal RL: Reverse-Environment Network Integrated Actor-Critic Algorithm
Implemenation of DDPG with numpy only (without Tensorflow)
Solving CartPole-v1 environment in Keras with Actor Critic algorithm an Deep Reinforcement Learning algorithm
Chapter notes and exercise solutions for Reinforcement Learning: An Introduction by Sutton and Barto
PyTorch Implementation of Soft Actor-Critic Algorithm
Implementation of Reinforcement Algorithms from scratch
Project Solutions for my Deep Reinforcement Learning Nanodegree at Udacity
Reinforcement learning, Policy Gradient, Actor-Critic, AC, Agent-based Simulation, Simple-world
Implementation of the DDPG algorithm to solve Continuous Control Reacher Environment
A novel method to incorporate existing policy (Rule-based control) with Reinforcement Learning.
This Repository contains my projects!
Reinforcement Learning - PPO (Proximal Policy Optimization) Implementation to Pong Game
Implementation of the actor critic algorithm for MountainCarContinuous-v0 OpenAI gym environment.
Fly Quadcopter using Deep Reinforcement Learning
Implement soft actor critic in pytorch to play a game of balancing pendulum in openai gym.
A very detailed project of Chrome Dinosaur in Deep RL for beginners
Course Project of the course Foundation of Intelligent Learning Agent(CS747)
Deep Q-Network, Actor-critic , Policy gradient implementation in python
A Deep Deterministic Policy Gradient Actor-Critic reinforcement learning solution to the Unity-ML(Udacity) Reacher environment
Programming Assignments for Reinforcement Learning Specialization