835 Open source projects that are alternatives of or similar to Pytorch Drl

Notes for the Reinforcement Learning course by David Silver along with implementation of various algorithms.

Top 200 deep learning Github repositories sorted by the number of stars.

Computational framework for reinforcement learning in traffic control

Simple and comprehensive tutorials in TensorFlow

A selection of state-of-the-art research materials on decision making and motion planning.

A collection of Deep Neuroevolution resources or evolutionary algorithms applying in Deep Learning (constantly updating)

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

Implement AlphaZero/AlphaGo Zero methods on Chinese chess.

PyTorch Implementation of Neural Episodic Control (NEC)

Dream to Control: Learning Behaviors by Latent Imagination

Implementing Reinforcement Learning, namely Q-learning and Sarsa algorithms, for global path planning of mobile robot in unknown environment with obstacles. Comparison analysis of Q-learning and Sarsa

A list of recent papers regarding dialogue generation

👤 Multi-Armed Bandit Algorithms Library (MAB) 👮

OpenNARS for Research 3.0+

Unreal environments for reinforcement learning

Machine learning and data science blog.

Learning infinite-resolution image processing with GAN and RL from unpaired image datasets, using a differentiable photo editing model.

Tensorflow implementation of Generative Adversarial Imitation Learning(GAIL) with discrete action

Reversi reinforcement learning by AlphaGo Zero methods.

A curated list of awesome Deep Reinforcement Learning resources.

Trading environnement for RL agents, backtesting and training.

Framework for developing OpenAI Gym robotics environments simulated with Ignition Gazebo

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

This is the official implementation of Multi-Agent PPO.

StarCraft II / PySC2 Deep Reinforcement Learning Agents (A2C)

Machine Learning and Reinforcement Learning in Finance New York University Tandon School of Engineering

Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)

tensorflow deep RL for driving a rover around

Code repository for SARNet: Learning Multi-Agent Communication through Structured Attentive Reasoning (NeurIPS 2020)

Free Resources For Data Science created by Shubham Kumar

Playing Mario with Deep Reinforcement Learning

Reinforcement Learning for Relation Classification from Noisy Data(TensorFlow)

Code for ACL 2018 paper: "Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting. Chen and Bansal"

Asynchronous Methods for Deep Reinforcement Learning

Deep Reinforcement Learning algorithms implemented in PyTorch

Train robotic agents to learn pick and place with deep learning for vision-based manipulation in PyBullet. Transporter Nets, CoRL 2020.

PGDrive: an open-ended driving simulator with infinite scenes from procedural generation

SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's architecture.

Open-source reinforcement learning environment for autonomous racing.

A Multi-agent Learning Framework

Code for the paper: Benhenda, M. 2017. ChemGAN challenge for drug discovery: can AI reproduce natural chemical diversity? arXiv preprint arXiv:1708.08227.

Deep Reinforcement Learning for Keras.

Reinforcement learning for energy systems

A scalable template for PyTorch projects, with examples in Image Segmentation, Object classification, GANs and Reinforcement Learning.

TensorFlow implementation of the Value Iteration Networks (NIPS '16) paper

Summaries of the papers that are discussed by VLG.

Top 100 trending deep learning repositories sorted by the number of stars gained on a specific day.

Samples for TensorFlow binding for .NET by Lost Tech

📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.

Foundation is a flexible, modular, and composable framework to model socio-economic behaviors and dynamics with both agents and governments. This framework can be used in conjunction with reinforcement learning to learn optimal economic policies, as done by the AI Economist (https://www.einstein.ai/the-ai-economist).

Exercise Solutions for Reinforcement Learning: An Introduction [2nd Edition]

The codes of paper "Long Text Generation via Adversarial Training with Leaked Information" on AAAI 2018. Text generation using GAN and Hierarchical Reinforcement Learning.

Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning

References on Optimal Control, Reinforcement Learning and Motion Planning

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

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Prioritized Experience Replay (PER) implementation in PyTorch

Connecting Torch to StarCraft

Implementations of selected inverse reinforcement learning algorithms.

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