rl implementationsNo description or website provided.
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SARNetCode repository for SARNet: Learning Multi-Agent Communication through Structured Attentive Reasoning (NeurIPS 2020)
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Dist-A3CDistributed A3C
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FinRLFinRL: The first open-source project for financial reinforcement learning. Please star. 🔥
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pytorchrlDeep Reinforcement Learning algorithms implemented in PyTorch
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catalyst-examplesExamples
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RCNN MDPCode base for solving Markov Decision Processes and Reinforcement Learning problems using Recurrent Convolutional Neural Networks.
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l2rOpen-source reinforcement learning environment for autonomous racing.
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CommNetan implementation of CommNet
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SRLFSimple Reinforcement Learning Framework
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rlflowA TensorFlow-based framework for learning about and experimenting with reinforcement learning algorithms
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reinforce-js[INACTIVE] A collection of various machine learning solver. The library is an object-oriented approach (baked with Typescript) and tries to deliver simplified interfaces that make using the algorithms pretty simple.
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DeepBeerInventory-RLThe code for the SRDQN algorithm to train an agent for the beer game problem
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learn-hippoPython (pytorch) code for Lu, Q., Hasson U. & Norman K. A. (2021). When to retrieve and encode episodic memories: a neural network model of hippocampal-cortical interaction.
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Deep RL with pytorchA pytorch tutorial for DRL(Deep Reinforcement Learning)
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pysc2-rl-agentsStarCraft II / PySC2 Deep Reinforcement Learning Agents (A2C)
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Meta-SACAuto-tune the Entropy Temperature of Soft Actor-Critic via Metagradient - 7th ICML AutoML workshop 2020
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Deep-Reinforcement-Learning-NotebooksThis Repository contains a series of google colab notebooks which I created to help people dive into deep reinforcement learning.This notebooks contain both theory and implementation of different algorithms.
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