inverse-reinforcement-learning

Implementation of Inverse Reinforcement Learning Algorithm on a toy car in a 2D world problem, (Apprenticeship Learning via Inverse Reinforcement Learning Abbeel & Ng, 2004)

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Updated Jun 6, 2018
Python

uidilr / gail_ppo_tf

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Tensorflow implementation of Generative Adversarial Imitation Learning(GAIL) with discrete action

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Updated Nov 14, 2018
Python

chauvinSimon / My_Bibliography_for_Research_on_Autonomous_Driving

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Personal notes about scientific and research works on "Decision-Making for Autonomous Driving"

reinforcement-learning bibliography end-to-end decision-making prediction planning intention mdp mcts game-theory behavioral-cloning interaction risk-assessment imitation-learning inverse-reinforcement-learning pomdp decision-making-under-uncertainty carla model-based-reinforcement-learning belief-planning

Updated Jun 15, 2020

ahq1993 / inverse_rl

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Adversarial Imitation Via Variational Inverse Reinforcement Learning

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Updated Dec 30, 2019
Python

yadrimz / DESIRE

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DESIRE: Distant Future Prediction in Dynamic Scenes with Interacting Agents

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Updated Oct 22, 2018
Python

nosyndicate / pytorchrl

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Deep Reinforcement Learning algorithms implemented in PyTorch

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Updated Jun 9, 2018
Python

ewanlee / ICLR2019-RL-Papers

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The Reinforcement-Learning-Related Papers of ICLR 2019

reinforcement-learning transfer-learning imitation-learning online-learning hierarchical-reinforcement-learning inverse-reinforcement-learning multiagent-reinforcement-learning meta-learning model-based-rl model-free iclr2019 intrinsic-reward robust-reinforcement-learning sequence-modeling

Updated May 28, 2019

jiachenli94 / Awesome-Decision-Making-Reinforcement-Learning

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A selection of state-of-the-art research materials on decision making and motion planning.

machine-learning reinforcement-learning deep-learning algorithms robotics decision-making motion-planning artificial-intelligence trajectory-generation autonomous-vehicles causal-inference inverse-reinforcement-learning intelligent-transportation-systems trajectory-prediction motion-control multiagent-reinforcement-learning multi-agent-learning trajectory-planning motion-prediction

Updated Feb 12, 2020

neka-nat / inv_rl

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Inverse Reinforcement Learning Argorithms

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Updated May 13, 2019
Python

FudanNLP / Irl_gen

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This is implementation of the paper 'Toward Diverse Text Generation with Inverse Reinforcement Learning' https://arxiv.org/abs/1804.11258 IJCAI2018

text-generation inverse-reinforcement-learning max-entropy

Updated Nov 29, 2018
Python

krasheninnikov / max-causal-ent-irl

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Maximum Causal Entropy Inverse Reinforcement Learning

inverse-reinforcement-learning

Updated Nov 24, 2018
Python

cvlab-stonybrook / Scanpath_Prediction

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Predicting Goal-directed Human Attention Using Inverse Reinforcement Learning (CVPR2020)

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Updated Jun 15, 2020
Python

dit7ya / awesome-irl

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A curated list of awesome Inverse Reinforcement Learning resources.

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Updated Jul 6, 2019
Jupyter Notebook

qzed / irl-maxent

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Maximum Entropy and Maximum Causal Entropy Inverse Reinforcement Learning Implementation in Python

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Updated Jul 1, 2019
Jupyter Notebook

makokal / socially_normative_navigation

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Socially normative mobile robot navigation

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Updated Mar 15, 2016
C++

shaktikshri / adaptiveSystems

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RL CIRL Research

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Updated Mar 31, 2020
Python

dongminlee94 / Reinforcement-Learning-Code

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Repository for codes of Reinforcement Learning algorithms with PyTorch

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Updated Jul 22, 2019
Python

uidilr / deepirl_chainer

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Implementation of GAIL and AIRL using chinerrl

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Updated Dec 17, 2019
Python

mattgolub / internal_model_estimation

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Codepack accompanying "Internal models for interpreting neural population activity during sensorimotor control," by Matthew D. Golub, Byron M. Yu, and Steven M. Chase, eLife 2015.

inverse-reinforcement-learning brain-machine-interface inverse-optimal-control motor-control motorl-learning internal-models