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Search results for deep learning proximal policy optimization
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proximal-policy-optimization
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21 search results found
Cleanrl
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3,947
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
Pytorch A2c Ppo Acktr Gail
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3,484
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).
Ppo Pytorch
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1,270
Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch
Super Mario Bros Ppo Pytorch
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692
Proximal Policy Optimization (PPO) algorithm for Super Mario Bros
Autonomous Learning Library
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616
A PyTorch library for building deep reinforcement learning agents.
Reinforcement Learning Algorithms
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407
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)
Lagom
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365
lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.
Recurrent Ppo Truncated Bptt
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82
Baseline implementation of recurrent PPO using truncated BPTT
Autonomous Driving In Carla Using Deep Reinforcement Learning
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61
Deep Reinforcement Learning (PPO) in Autonomous Driving (Carla) [from scratch]
Imitation_learning
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56
PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.
Relational_deep_reinforcement_learning
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41
Ppo
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40
PyTorch implementation of Proximal Policy Optimization
Carla Driving Rl Agent
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39
Code for the paper "Reinforced Curriculum Learning for Autonomous Driving in CARLA" (ICIP 2021)
Rl_matrix
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36
Reinforcement Learning Agents in .NET
Pop3d
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35
Policy Optimization with Penalized Point Probability Distance: an Alternative to Proximal Policy Optimization
Ppo Pytorch
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35
Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)
Ppo_jax
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33
Jax implementation of Proximal Policy Optimization (PPO) specifically tuned for Procgen, with benchmarked results and saved model weights on all environments.
Btc_rl_trading_bot
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14
A trading bitcoin agent was created with deep reinforcement learning implementations.
Reinforcement_learning_phasic_policy_gradient
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10
Deep Reinforcement Learning by using Phasic Policy Gradient in Pytorch & Tensorflow
Spacefortress
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9
OpenAI Gym compatible reinforcement learning environment for Space Fortress https://arxiv.org/abs/1809.02206
Pysc2_rl
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9
Deep Rl
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8
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.
Transportation Routes Optimization By Rl
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7
Application of reinforcement learning to Optimize transportation routes using reinforcement learning
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