88 Open source projects that are alternatives of or similar to cs7641-assignment4

CS 7641 - All the code

Paddle-RLBooks is a reinforcement learning code study guide based on pure PaddlePaddle.

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Free Resources For Data Science created by Shubham Kumar

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arxiv.org/abs/1803.07482

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A framework for multi-agent reinforcement learning.

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A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.

Forex trading simulator environment for OpenAI Gym, observations contain the order status, performance and timeseries loaded from a CSV file containing rates and indicators. Work In Progress

Code for our AAMAS 2020 paper: "A Story of Two Streams: Reinforcement Learning Models from Human Behavior and Neuropsychiatry".

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Make it easy to specify simple MDPs that are compatible with the OpenAI Gym.

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tensorflow deep RL for driving a rover around

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Package provides java implementation of reinforcement learning algorithms such Q-Learn, R-Learn, SARSA, Actor-Critic

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Explorer is a PyTorch reinforcement learning framework for exploring new ideas.

playing idealized trading games with deep reinforcement learning

A multi agent path planning solution under a warehouse scenario using Q learning and transfer learning.🤖️

Monte Carlo Tree Search (MCTS) is a method for finding optimal decisions in a given domain by taking random samples in the decision space and building a search tree accordingly. It has already had a profound impact on Artificial Intelligence (AI) approaches for domains that can be represented as trees of sequential decisions, particularly games …

A curated list of online resources for probabilistic planning: papers, software and research groups around the world!

Some notebooks

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.

Test Data Generation

A framework where a deep Q-Learning Reinforcement Learning agent tries to choose the correct traffic light phase at an intersection to maximize traffic efficiency.

An RL implementation in Keras

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SHIELD: Fast, Practical Defense and Vaccination for Deep Learning using JPEG Compression

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A course on Deep Reinforcement Learning in Computer Vision. Visit Website:

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Rich literature review and discussion on the implementation of "Hierarchical Decision-Making for Autonomous Driving"

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