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Search results for pytorch actor critic
actor-critic
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pytorch
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53 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)
Deep_reinforcement_learning_course
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3,581
Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch
Pytorch A2c Ppo Acktr Gail
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3,450
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).
Deep Reinforcement Learning With Pytorch
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2,741
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
Pytorch A3c
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768
PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".
Deeprl Tutorials
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726
Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
Pytorch Rl
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703
Deep Reinforcement Learning with pytorch & visdom
Rl_a3c_pytorch
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535
A3C LSTM Atari with Pytorch plus A3G design
Pytorch Soft Actor Critic
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414
PyTorch implementation of soft actor critic
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)
Pytorch Drl
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387
PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.
Drq
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369
DrQ: Data regularized Q
Machine Learning Is All You Need
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337
🔥🌟《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!💪 This repository is ALL You Need!
Pytorch Cpp Rl
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308
PyTorch C++ Reinforcement Learning
Pytorch A3c
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289
Simple A3C implementation with pytorch + multiprocessing
Hands On Intelligent Agents With Openai Gym
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280
Code for Hands On Intelligent Agents with OpenAI Gym book to get started and learn to build deep reinforcement learning agents using PyTorch
Pytorch_sac
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232
PyTorch implementation of Soft Actor-Critic (SAC)
Adeptrl
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178
Reinforcement learning framework to accelerate research
Hierarchical Actor Critic Hac Pytorch
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154
PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments
Baby A3c
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153
A high-performance Atari A3C agent in 180 lines of PyTorch
Torch Ac
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134
Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO
Visualize_atari
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99
Code for our paper "Visualizing and Understanding Atari Agents" (https://goo.gl/AMAoSc)
Episodic Transformer Memory Ppo
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99
Clean baseline implementation of PPO using an episodic TransformerXL memory
Reinforcementlearning Atarigame
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87
Pytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advantage Actor-Critic (A3C) Algorithm. This is much superior and efficient than DQN and obsoletes it. Can play on many games
Soft Actor Critic And Extensions
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87
PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL + D2RL and parallel Environments.
Simple A2c Ppo
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84
Actor-critic trained w PPO on OpenAI's Procgen Benchmark (PyTorch). Built from scratch.
Recurrent Ppo Truncated Bptt
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82
Baseline implementation of recurrent PPO using truncated BPTT
Run Skeleton Run
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81
Reason8.ai PyTorch solution for NIPS RL 2017 challenge
Explorer
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68
Explorer is a PyTorch reinforcement learning framework for exploring new ideas.
Pytorch Rl
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64
Tutorials for reinforcement learning in PyTorch and Gym by implementing a few of the popular algorithms. [IN PROGRESS]
Pytorch A3c Mujoco
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62
Implement A3C for Mujoco gym envs
Super Mario Bros Rl
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57
This project explores deep reinforcement learning, hybrid actor-critic approach with A3C/PPO combined with curiosity for playing Super Mario Bros
Deep Reinforcement Learning Applied To Doom
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57
DQN, DDDQN, A3C, PPO, Curiosity applied to the game DOOM
Mario_rl
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57
Off Policy Continuous Control
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53
Official PyTorch code for "Recurrent Off-policy Baselines for Memory-based Continuous Control" (DeepRL WS, NeurIPS 21)
Pytorch_sac_ae
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38
PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)
Marlclassification
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27
Image classification using reinforcement learning and multi-agent system
Adl2019
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19
Applied Deep Learning (2019 Spring) @ NTU
Meta Sac
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18
Auto-tune the Entropy Temperature of Soft Actor-Critic via Metagradient - 7th ICML AutoML workshop 2020
Acer
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14
PyTorch implementation of both discrete and continuous ACER
Sac
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13
Pytorch implementation of Soft Actor-Critic
Actor Critic Pytorch
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12
Policy Gradient Actor-Critic PyTorch | Lunar Lander v2
Pytorch Acer
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11
PyTorch implementation of Sample Efficient Actor-Critic with Experience Replay(ACER)
Policy_based_rl
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10
The implement of the policy gradient RL algorithm with pytorch
Pytorch A2c
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10
A well-documented A2C written in PyTorch
Deep Bayesian Quadrature Policy Optimization
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9
Official implementation of the AAAI 2021 paper Deep Bayesian Quadrature Policy Optimization.
Worldmodels A3c
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9
World Models with A3C on Carracing-v0 in gym
Deep Reinforcement Learning With Pytorch
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8
Basic reinforcement learning algorithms. Including:DQN,Double DQN, Dueling DQN, SARSA, REINFORCE, baseline-REINFORCE, Actor-Critic,DDPG,DDPG for discrete action space, A2C, A3C, TD3, SAC, TRPO
Actorch
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8
Deep reinforcement learning framework for fast prototyping based on PyTorch
Multi_agent_soft_actor_critic
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8
A Pytorch Implementation of Multi Agent Soft Actor Critic
A3c Gru
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7
A3C Algorithm for classic Atari games
Wegs Drl Baselines
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5
Minimum viable reinforcement learning algorithms for your educational convenience.
Playing_atari_with_reinforcement_learning
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5
Implementation of multiple RL algorithms in pytorch (DQN, AC, ACER) and trained agents to play digital games
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