Topic: proximal-policy-optimization Goto Github
Some thing interesting about proximal-policy-optimization
Some thing interesting about proximal-policy-optimization
proximal-policy-optimization,Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)
User: adik993
proximal-policy-optimization,You can see a reference for Books, Articles, Courses and Educational Materials in this field. Implementation of Reinforcement Learning Algorithms and Environments. Python, OpenAI Gym, Tensorflow.
User: aminkhani
Home Page: https://github.com/aminkhani/Deep-RL
proximal-policy-optimization,Deep Reinforcement Learning in C#
User: asieradzk
proximal-policy-optimization,Jax implementation of Proximal Policy Optimization (PPO) specifically tuned for Procgen, with benchmarked results and saved model weights on all environments.
User: bmazoure
proximal-policy-optimization,PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.
User: chenglongchen
proximal-policy-optimization,PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.
User: cherrypiesexy
proximal-policy-optimization,A PyTorch library for building deep reinforcement learning agents.
User: cpnota
proximal-policy-optimization,Policy Optimization with Penalized Point Probability Distance: an Alternative to Proximal Policy Optimization
User: cxxgtxy
proximal-policy-optimization,Implementation of a Deep Reinforcement Learning algorithm, Proximal Policy Optimization (SOTA), on a continuous action space openai gym (Box2D/Car Racing v0)
User: elsheikh21
proximal-policy-optimization,🚗 3D web app that combines Proximal Policy Optimization with Three.js, enabling users to directly interact with or train AI models on a virtual racetrack.
User: fjcollyer
Home Page: https://3d-driving-ai.vercel.app/
proximal-policy-optimization,A trading bitcoin agent was created with deep reinforcement learning implementations.
User: giostamoulos
proximal-policy-optimization,A collection of Reinforcement Learning implementations with PyTorch
User: hcnoh
proximal-policy-optimization,Deep Reinforcement Learning (PPO) in Autonomous Driving (Carla) [from scratch]
User: idreesshaikh
proximal-policy-optimization,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
proximal-policy-optimization,Curiosity-driven Exploration by Self-supervised Prediction
User: jcwleo
proximal-policy-optimization,Proximal Policy Optimization with Tensorflow 2.0
User: jw1401
proximal-policy-optimization,PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.
User: khrylx
proximal-policy-optimization,TraderNet-CRv2 - Combining Deep Reinforcement Learning with Technical Analysis and Trend Monitoring on Cryptocurrency Markets
User: kochlisgit
proximal-policy-optimization,Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO
User: lcswillems
proximal-policy-optimization,PyTorch implementation of Proximal Policy Optimization
User: lnpalmer
proximal-policy-optimization,Code for the paper "Reinforced Curriculum Learning for Autonomous Driving in CARLA" (ICIP 2021)
User: luca96
proximal-policy-optimization,An implementation of Phasic Policy Gradient, a proposed improvement of Proximal Policy Gradients, in Pytorch
User: lucidrains
proximal-policy-optimization,Clean baseline implementation of PPO using an episodic TransformerXL memory
User: marcometer
proximal-policy-optimization,Baseline implementation of recurrent PPO using truncated BPTT
User: marcometer
proximal-policy-optimization,Trading Environment(OpenAI Gym) + PPO(TensorForce)
User: miroblog
proximal-policy-optimization,Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
User: morvanzhou
Home Page: https://mofanpy.com/tutorials/machine-learning/reinforcement-learning/
proximal-policy-optimization,Implementation of Generatve Adversarial Imitation Learning (GAIL) for classic environments from OpenAI Gym.
User: navuboy
proximal-policy-optimization,Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch
User: nikhilbarhate99
proximal-policy-optimization,PyTorch C++ Reinforcement Learning
User: omegastick
proximal-policy-optimization,Implementing reinforcement-learning algorithms for pysc2 -environment
User: pekaalto
proximal-policy-optimization,A Torch Based RL Framework for Rapid Prototyping of Research Papers
User: philtabor
proximal-policy-optimization,强化学习算法库,包含了目前主流的强化学习算法(Value based and Policy based)的代码,代码都经过调试并可以运行
User: phoenix-shen
proximal-policy-optimization,Deep Reinforcement Learning algorithms for Policy Value methods written from scratch.
User: qasimwani
proximal-policy-optimization,
Organization: rlopensource
proximal-policy-optimization,Application of reinforcement learning to Optimize transportation routes using reinforcement learning
User: seolhokim
proximal-policy-optimization,🎾 Multi-Agent Proximal Policy Optimization approach to a competitive reinforcement learning problem
User: terran6
proximal-policy-optimization,This is an pytorch implementation of Distributed Proximal Policy Optimization(DPPO).
User: tianhongdai
proximal-policy-optimization,It's the pytorch implementation of google research football.
User: tianhongdai
proximal-policy-optimization,This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Dueling Network, DDPG, SAC, A2C, PPO, TRPO. (More algorithms are still in progress)
User: tianhongdai
proximal-policy-optimization,This repository contains an application using ROS2 Humble, Gazebo, OpenAI Gym and Stable Baselines3 to train reinforcement learning agents for a path planning problem.
User: tommasovandermeer
proximal-policy-optimization,Proximal Policy Optimization (PPO) algorithm for Contra
User: uvipen
proximal-policy-optimization,Proximal Policy Optimization (PPO) algorithm for Sonic the Hedgehog
User: uvipen
proximal-policy-optimization,Proximal Policy Optimization (PPO) algorithm for Super Mario Bros
User: uvipen
proximal-policy-optimization,High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
User: vwxyzjn
Home Page: http://docs.cleanrl.dev
proximal-policy-optimization,Multi-Agent Deep Reinforcement Learning by using Asynchronous & Impala Proximal Policy Optimization in Pytorch with some explanation
User: wisnunugroho21
proximal-policy-optimization,Deep Reinforcement Learning by using Phasic Policy Gradient in Pytorch & Tensorflow
User: wisnunugroho21
proximal-policy-optimization,Deep Reinforcement Learning by using Proximal Policy Optimization and Random Network Distillation in Tensorflow 2 and Pytorch with some explanation
User: wisnunugroho21
proximal-policy-optimization,Implementation of Scheduled Policy Optimization for task-oriented language grouding
User: xwhan
proximal-policy-optimization,A PPO agent leveraging reinforcement learning performs Penetration Testing in a simulated computer network environment. The agent is trained to scan for vulnerabilities in the network and exploit them to gain access to various network resources.
User: yyzpiero
proximal-policy-optimization,lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.
User: zuoxingdong
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