Maximum Entropy and Maximum Causal Entropy Inverse Reinforcement Learning Implementation in Python
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Pontryagin-Differentiable-Programmingby wanxinjin
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A unified end-to-end learning and control framework that is able to learn a (neural) control objective function, dynamics equation, control policy, or/and optimal trajectory in a control system.
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some Multiagent enviroment in 《Multi-agent Reinforcement Learning in Sequential Social Dilemmas》 and 《Value-Decomposition Networks For Cooperative Multi-Agent Learning》
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Overcoming-exploration-from-demosby jangirrishabh
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Implementation of the paper "Overcoming Exploration in Reinforcement Learning with Demonstrations" Nair et al. over the HER baselines from OpenAI
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Reinforcement Learning Simulator for Donkey Car
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강화학습에 대한 기본적인 알고리즘 구현
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Tensorflow implementation of Generative Adversarial Imitation Learning(GAIL) with discrete action
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An easy PyTorch implementation of "Stabilizing Transformers for Reinforcement Learning"
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Reinforcement-Learningby diegoalejogm
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Implementation of Reinforcement Learning algorithms in Python, based on Sutton's & Barto's Book (Ed. 2)
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PyTorch implementation of Advantage async actor-critic Algorithms (A3C) in PyTorch
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Solutions for CS224W Winter 2021 Colab
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(NeurIPS '21 Spotlight) IQ-Learn: Inverse Q-Learning for Imitation
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A collection of offline reinforcement learning algorithms. This is a mirror repo from https://agit.ai/Polixir/OfflineRL
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An engine for high performance multi-agent environments with very large numbers of agents, along with a set of reference environments
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aws-robomaker-sample-application-deepracerby amazon-archives
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Use AWS RoboMaker and demonstrate running a simulation which trains a reinforcement learning (RL) model to drive a car around a track
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adaptive-transformers-in-rlby jerrodparker20
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Adaptive Attention Span for Reinforcement Learning
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Package provides java implementation of reinforcement learning algorithms such Q-Learn, R-Learn, SARSA, Actor-Critic
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[NeurIPS 2019] Code for the paper "Learning to Control Self-Assembling Morphologies: A Study of Generalization via Modularity"
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Performant, differentiable reinforcement learning
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"Attention, Learn to Solve Routing Problems!"[Kool+, 2019], Capacitated Vehicle Routing Problem solver
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openai-gym-policy-gradientby gabrielgarza
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Reinforcement Learning using Policy Gradient to solve OpenAI Gym games
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Curiosity-driven Exploration by Self-supervised Prediction
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Learning human driver models from NGSIM data with imitation learning.
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Deep Variational Reinforcement Learning
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A PyTorch implementation of SAC-Discrete.
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🤖 Implements of Reinforcement Learning algorithms.
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Highly Modular and Scalable Reinforcement Learning
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RL algorithms
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Some Reinforcement Learning in Python
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Python-Reinforcement-Learning-Projectsby PacktPublishing
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Python Reinforcement Learning Projects, published by Packt
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Reinforcement Learning in Python
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[ICML 2019] TensorFlow Code for Self-Supervised Exploration via Disagreement
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Reinforcement Learning Agents Trained in the CARLA Simulator
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Multi & Single Agent Reinforcement Learning for Traffic Signal Control Problem
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EasyRL
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Malware Mutation Using Reinforcement Learning and Generative Adversarial Networks
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Implementation of Reinforcement Learning from Human Feedback (RLHF)
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Ape-X DQN & DDPG with pytorch & tensorboard
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Repository for codes of Deep Reinforcement Learning (DRL) lectured at Samsung
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Minimal PyTorch implementation of Deep Dream
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Code for the ACL 19 paper "Neural Keyphrase Generation via Reinforcement Learning with Adaptive Rewards"
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Optimizing Chemical Reactions with Deep Reinforcement Learning
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Battle Robots Demo made with Unity Machine Learning Agents
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Paddle-RLBooks is a reinforcement learning code study guide based on pure PaddlePaddle.
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Code for our paper "Visualizing and Understanding Atari Agents" (https://goo.gl/AMAoSc)
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irl-maxentby qzed
Maximum Entropy and Maximum Causal Entropy Inverse Reinforcement Learning Implementation in Python
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ROMAby TonghanWang
Codes accompanying the paper "ROMA: Multi-Agent Reinforcement Learning with Emergent Roles" (ICML 2020 https://arxiv.org/abs/2003.08039)
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Pontryagin-Differentiable-Programmingby wanxinjin
A unified end-to-end learning and control framework that is able to learn a (neural) control objective function, dynamics equation, control policy, or/and optimal trajectory in a control system.
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115
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MaCAby CETC-TFAI
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114
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Q-GridWorldby Unity-Technologies
Demo project using tabular Q-learning algorithm
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deepmind_MAS_enviromentby wwxFromTju
some Multiagent enviroment in 《Multi-agent Reinforcement Learning in Sequential Social Dilemmas》 and 《Value-Decomposition Networks For Cooperative Multi-Agent Learning》
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pysc2-rl-agentsby simonmeister
StarCraft II / PySC2 Deep Reinforcement Learning Agents (A2C)
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Overcoming-exploration-from-demosby jangirrishabh
Implementation of the paper "Overcoming Exploration in Reinforcement Learning with Demonstrations" Nair et al. over the HER baselines from OpenAI
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113
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donkey_rlby flyyufelix
Reinforcement Learning Simulator for Donkey Car
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113
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Reinforcement_Learningby jcwleo
강화학습에 대한 기본적인 알고리즘 구현
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111
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gail_ppo_tfby uidilr
Tensorflow implementation of Generative Adversarial Imitation Learning(GAIL) with discrete action
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Transformers-RLby dhruvramani
An easy PyTorch implementation of "Stabilizing Transformers for Reinforcement Learning"
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110
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Reinforcement-Learningby diegoalejogm
Implementation of Reinforcement Learning algorithms in Python, based on Sutton's & Barto's Book (Ed. 2)
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A3C-PyTorchby onlytailei
PyTorch implementation of Advantage async actor-critic Algorithms (A3C) in PyTorch
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108
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CS224W-Colabby luciusssss
Solutions for CS224W Winter 2021 Colab
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IQ-Learnby Div99
(NeurIPS '21 Spotlight) IQ-Learn: Inverse Q-Learning for Imitation
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108
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OfflineRLby polixir
A collection of offline reinforcement learning algorithms. This is a mirror repo from https://agit.ai/Polixir/OfflineRL
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107
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MAgent2by Farama-Foundation
An engine for high performance multi-agent environments with very large numbers of agents, along with a set of reference environments
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107
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aws-robomaker-sample-application-deepracerby amazon-archives
Use AWS RoboMaker and demonstrate running a simulation which trains a reinforcement learning (RL) model to drive a car around a track
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106
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adaptive-transformers-in-rlby jerrodparker20
Adaptive Attention Span for Reinforcement Learning
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106
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java-reinforcement-learningby chen0040
Package provides java implementation of reinforcement learning algorithms such Q-Learn, R-Learn, SARSA, Actor-Critic
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105
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modular-assembliesby pathak22
[NeurIPS 2019] Code for the paper "Learning to Control Self-Assembling Morphologies: A Study of Generalization via Modularity"
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105
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delucaby google
Performant, differentiable reinforcement learning
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105
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VRP_DRL_MHAby Rintarooo
"Attention, Learn to Solve Routing Problems!"[Kool+, 2019], Capacitated Vehicle Routing Problem solver
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105
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openai-gym-policy-gradientby gabrielgarza
Reinforcement Learning using Policy Gradient to solve OpenAI Gym games
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curiosity-driven-exploration-pytorchby jcwleo
Curiosity-driven Exploration by Self-supervised Prediction
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ngsim_envby sisl
Learning human driver models from NGSIM data with imitation learning.
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DVRLby maximilianigl
Deep Variational Reinforcement Learning
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sac-discrete.pytorchby ku2482
A PyTorch implementation of SAC-Discrete.
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Reinforcement-Learningby Ceruleanacg
🤖 Implements of Reinforcement Learning algorithms.
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torchrlby activatedgeek
Highly Modular and Scalable Reinforcement Learning
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RL-algorithmsby mengwanglalala
RL algorithms
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python-rlby amarack
Some Reinforcement Learning in Python
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102
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Python-Reinforcement-Learning-Projectsby PacktPublishing
Python Reinforcement Learning Projects, published by Packt
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reinforce_pyby borgwang
Reinforcement Learning in Python
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101
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exploration-by-disagreementby pathak22
[ICML 2019] TensorFlow Code for Self-Supervised Exploration via Disagreement
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carla-rlby carla-rl-gym
Reinforcement Learning Agents Trained in the CARLA Simulator
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Multi-Commanderby multi-commander
Multi & Single Agent Reinforcement Learning for Traffic Signal Control Problem
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Pesidiousby CyberForce
Malware Mutation Using Reinforcement Learning and Generative Adversarial Networks
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instructGOOSEby xrsrke
Implementation of Reinforcement Learning from Human Feedback (RLHF)
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pytorch-distributedby jingweiz
Ape-X DQN & DDPG with pytorch & tensorboard
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Samsung-DRL-Codeby dongminlee94
Repository for codes of Deep Reinforcement Learning (DRL) lectured at Samsung
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PyTorch-Deep-Dreamby eriklindernoren
Minimal PyTorch implementation of Deep Dream
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openrlbenchmarkby openrlbenchmark
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keyphrase-generation-rlby kenchan0226
Code for the ACL 19 paper "Neural Keyphrase Generation via Reinforcement Learning with Adaptive Rewards"
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chemoptby lightingghost
Optimizing Chemical Reactions with Deep Reinforcement Learning
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angry-aiby mbaske
Battle Robots Demo made with Unity Machine Learning Agents
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Paddle-RLBooksby AgentMaker
Paddle-RLBooks is a reinforcement learning code study guide based on pure PaddlePaddle.
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visualize_atariby greydanus
Code for our paper "Visualizing and Understanding Atari Agents" (https://goo.gl/AMAoSc)
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