322 Open source projects that are alternatives of or similar to Acer

UAV Obstacle Avoidance using Deep Recurrent Reinforcement Learning with Temporal Attention

This is a practical resource that makes it easier to learn about and apply Practical Deep Reinforcement Learning (DRL) https://ibrahimsobh.github.io/Practical-DRL/

Reinforcement Learning algorithm's using google-colab

SeqGAN but with more bells and whistles

A simple example of how to implement vector based DQN using PyTorch and a ML-Agents environment

Deep Reinforcement Learning Pong Agent, King Pong, he's the best

Combining deep learning and reinforcement learning.

AI项目（强化学习、深度学习、计算机视觉、推荐系统、自然语言处理、机器导航、医学影像处理）

Automate swing trading using deep reinforcement learning. The deep deterministic policy gradient-based neural network model trains to choose an action to sell, buy, or hold the stocks to maximize the gain in asset value. The paper also acknowledges the need for a system that predicts the trend in stock value to work along with the reinforcement …

(AAAI 2018) Action Branching Architectures for Deep Reinforcement Learning

Deep Reinforcement Learning (DQN) based Self Driving Car Control with Vehicle Simulator

Minimal and Clean Reinforcement Learning Examples

Deep & Classical Reinforcement Learning + Machine Learning Examples in Python

A car soccer environment inspired by Rocket League for deep reinforcement learning experiments in an adversarial self-play setting.

Remove watermark automatically(Just can use for fixed position watermark till now). 自动水印消除算法的实现（目前只支持固定水印位置）。

Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch

PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.

🖥️ CS446: Machine Learning in Spring 2018, University of Illinois at Urbana-Champaign

playing idealized trading games with deep reinforcement learning

Reinforcement Learning and Decision Making tutorials explained at an intuitive level and with Jupyter Notebooks

A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).

Trading Environment(OpenAI Gym) + DDQN (Keras-RL)