Topic: advantage-actor-critic Goto Github
Some thing interesting about advantage-actor-critic
Some thing interesting about advantage-actor-critic
advantage-actor-critic,Official implementation of the AAAI 2021 paper Deep Bayesian Quadrature Policy Optimization.
User: akella17
advantage-actor-critic,It's a Raspberry Pi PokΓ©mon that gamifies WiFi Hacking by learning from its surrounding WiFi environment utilising deep Reinforcement Learning.
User: ayush5harma
advantage-actor-critic,Tutorials for reinforcement learning in PyTorch and Gym by implementing a few of the popular algorithms. [IN PROGRESS]
User: bentrevett
advantage-actor-critic,
User: chagmgang
advantage-actor-critic,PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.
User: chenglongchen
advantage-actor-critic,PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.
User: cherrypiesexy
advantage-actor-critic,A PyTorch library for building deep reinforcement learning agents.
User: cpnota
advantage-actor-critic,The friendly robot that beats you in Yahtzee π€ π²
User: dionhaefner
advantage-actor-critic,The pytorch implemetation of a2c
User: dodoseung
advantage-actor-critic,PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).
User: ikostrikov
advantage-actor-critic,Code accompanying the blog post "Deep Reinforcement Learning with TensorFlow 2.1"
User: inoryy
Home Page: http://inoryy.com/post/tensorflow2-deep-reinforcement-learning/
advantage-actor-critic,Curiosity-driven Exploration by Self-supervised Prediction
User: jcwleo
advantage-actor-critic,First Place Reinforcement Learning solution code and a writeup for the AI RoboSoccer Competition.
User: kevinmathewt
advantage-actor-critic,Scalable, event-driven, deep-learning-friendly backtesting library
User: kismuz
Home Page: https://kismuz.github.io/btgym/
advantage-actor-critic,Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO
User: lcswillems
advantage-actor-critic,[ICRA'23] Demonstration-Guided Reinforcement Learning with Efficient Exploration for Task Automation of Surgical Robot
Organization: med-air
advantage-actor-critic,RL agent that is trained to catch moving pucks in a complex environment, with DQN, AC, A2C and more.
User: mingxuanm
advantage-actor-critic,MLP-framework (pure numpy) and DDQN-framework for OpenAI's Gym games. +test code for PPO added. +Hindsight Experience Replay(HER) bitflip-DQN example. +prioritized replay.
User: monoelh
advantage-actor-critic,Solving CartPole-v1 environment in Keras with Advantage Actor Critic (A2C) algorithm an Deep Reinforcement Learning algorithm
User: nitish-kalan
advantage-actor-critic,Example A2C implementation with ReLAx
User: nslyubaykin
advantage-actor-critic,PyTorch C++ Reinforcement Learning
User: omegastick
advantage-actor-critic,Code for Hands On Intelligent Agents with OpenAI Gym book to get started and learn to build deep reinforcement learning agents using PyTorch
Organization: packtpublishing
Home Page: https://www.packtpub.com/big-data-and-business-intelligence/hands-intelligent-agents-openai-gym
advantage-actor-critic,Deep reinforcement learning package for torch7
User: po-hsun-su
advantage-actor-critic,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
User: popovicidaniela
advantage-actor-critic,Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
User: qfettes
advantage-actor-critic,A well-documented A2C written in PyTorch
User: rpatrik96
advantage-actor-critic,Implementations of deep reinforcement learning algorithms.
User: rystrauss
advantage-actor-critic,This repository contains my assignment solutions for the Deep Learning course (M2177.003100_002) offered by Seoul National University (Fall 2019).
User: sunoh-kim
advantage-actor-critic,Multi-task learning with Advantage Actor Critic and sharing experience
User: tailongnguyen
advantage-actor-critic,PyTorch implementation of Asynchronous (and Synchronous) Advantage Actor Critic
User: ttitcombe
advantage-actor-critic,Reinforcing Your Learning of Reinforcement Learning
User: urinx
advantage-actor-critic,High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
User: vwxyzjn
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