434 Open source projects that are alternatives of or similar to Pytorch Ddpg

Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".

Code for NIPS 2017 learning to run challenge

an implementation of CommNet

Fitness landscape exploration sandbox for biological sequence design.

Simple (but often Strong) Baselines for POMDPs in PyTorch - ICML 2022

Reinforcement learning with tensorflow 2 keras

Line follower robot simulator environment for Open AI Gym.

Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch

OpenAI's Gym written in pure Rust for blazingly fast performance

Deep Reinforcement Learning with pytorch & visdom

Pytorch implementation of distributed deep reinforcement learning

StarCraft II - pysc2 Deep Reinforcement Learning Examples

Differential Dynamic Programming controller operating in OpenAI Gym environment.

RAD: Reinforcement Learning with Augmented Data

Gibson Environments: Real-World Perception for Embodied Agents

Deepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving

Docker image with OpenAI Gym, Baselines, MuJoCo and Roboschool, utilizing TensorFlow and JupyterLab.

Pytorch Implementation of MuZero

A Deep-Reinforcement Learning Approach for Software-Defined Networking Routing Optimization

Developing a deep neural network to play a snake game

Deep Reinforcement Learning based Trading Agent for Bitcoin

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

Code repository for the Animal AI Olympics competition

Lightweight flow-level simulator for inter-node network and service coordination (e.g., in cloud/edge computing or NFV).

PyTorch Implementation of Trust Region Policy Optimization (TRPO)

Train robotic agents to learn to plan pushing and grasping actions for manipulation with deep reinforcement learning.

Deep Reinforcement Learning algorithms implemented in PyTorch

Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog

Communicative Multiagent Deep Reinforcement Learning for Anatomical Landmark Detection using PyTorch.

Deep Reinforcement Learning in Autonomous Driving: the A3C algorithm used to make a car learn to drive in TORCS; Python 3.5, Tensorflow, tensorboard, numpy, gym-torcs, ubuntu, latex

Teach a Quadcopter How to Fly!

A course in reinforcement learning in the wild

"Good Robot! Now Watch This!": Repurposing Reinforcement Learning for Task-to-Task Transfer; and “Good Robot!”: Efficient Reinforcement Learning for Multi-Step Visual Tasks with Sim to Real Transfer

Deep Reinforcement Learning (DRL) agents applied to medical images

🎮 Advanced Deep Learning and Reinforcement Learning at UCL & DeepMind | YouTube videos 👉

Research repo of RL

UAV Obstacle Avoidance using Deep Recurrent Reinforcement Learning with Temporal Attention

TensorFlow implementation of Deep Reinforcement Learning papers

Scalable and Elastic Deep Reinforcement Learning Using PyTorch. Please star. 🔥

Gym environments and agents for autonomous driving.

CSCI 599 deep learning and its applications final project

No description or website provided.

Pytorch code for ICLR-20 Paper "Learning to Explore using Active Neural SLAM"

Code base for solving Markov Decision Processes and Reinforcement Learning problems using Recurrent Convolutional Neural Networks.

SeqGAN but with more bells and whistles

pytorch implementation of Curiosity-driven Exploration by Self-supervised Prediction

Resources, papers, tutorials

A clean implementation of MuZero and AlphaZero following the AlphaZero General framework. Train and Pit both algorithms against each other, and investigate reliability of learned MuZero MDP models.

OpenAI Gym Hearts Card Game

Evaluating pre-trained navigation agents under corruptions

A deep reinforcement learning bot that plays tetris

TensorFlow2 Reinforcement Learning

PyTorch implementation of Advantage async actor-critic Algorithms (A3C) in PyTorch

Ramudroid, autonomous solar-powered robot to clean roads, realtime object detection and webrtc based streaming

DeepTraffic is a deep reinforcement learning competition, part of the MIT Deep Learning series.

RLgraph: Modular computation graphs for deep reinforcement learning

DrQ: Data regularized Q

Deep Planning Network: Control from pixels by latent planning with learned dynamics

Inverse Reinforcement Learning Argorithms

juliareinforcementlearning.org/