Socially normative mobile robot navigation
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Updated
Mar 15, 2016 - C++
Socially normative mobile robot navigation
Codebase for learning Vector Policy Fields using Reinforcement Learning Networks.
Objectworld Experiments
Implementations of model-based Inverse Reinforcement Learning (IRL) algorithms in python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL
A Python Implementation of Bayesian Inverse Reinforcement Learning (BIRL)
Tensorflow implementation of generative adversarial imitation learning
Using Inverse Reinforcement Learning for grading of physical (sensorimotor) skills. This framework is a proof-of-concept with a toy problem of navigating in grid-based parking lot
Adaboost Inverse Reinforcement Learning
Basic Inverse Reinforcement Learning method in Python
Deep Reinforcement Learning algorithms implemented in PyTorch
High-quality reference implementations of various algorithms for Inverse Reinforcement Learning
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.
In this project, we implement reinforcement learning concepts using the Value Iteration Algorithm to learn optimal policy. In the second part, we apply inverse reinforcement learning for apprenticeship learning.
research, knowledge and skill. resources and notes of machine learning, reinforcement learning, deep learning, inverse reinforcement learning, imitation learning.
Maximum Causal Tsallis Entropy Imitation Learning
DESIRE: Distant Future Prediction in Dynamic Scenes with Interacting Agents
Tensorflow implementation of Generative Adversarial Imitation Learning(GAIL) with discrete action
Maximum Causal Entropy Inverse Reinforcement Learning
This is implementation of the paper 'Toward Diverse Text Generation with Inverse Reinforcement Learning' https://arxiv.org/abs/1804.11258 IJCAI2018
YODO: Inverse Reinforcement Learning
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