OpenDILab Decision AI Engine
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Updated
May 30, 2024 - Python
OpenDILab Decision AI Engine
Clean PyTorch implementations of imitation and reward learning algorithms
Implementation of Inverse Reinforcement Learning (IRL) algorithms in Python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL
DI-engine docs (Chinese and English)
FASTRL is a a set of benchmark tasks used in surgical training which are adapted to the reinforcement learning setting for the purpose of training agents capable of providing assistance to the surgical trainees. The benchmark is provided with the purpose of exploring the domain of human-centric teaching agents within the learning-to-teach formalism
This repository contains implementations of the DDPG and TD3 algorithms along with HER to train the PandaReach-v3 agent and then use the projection-based inverse reinforcement learning algorithm to train apprentice agents using the trained agent as the expert.
Maximum Entropy and Maximum Causal Entropy Inverse Reinforcement Learning Implementation in Python
This repository contains Q-Learning and Deep Q-Learning (DQN) implementations for apprenticeship learning, based on the paper “Apprenticeship Learning via Inverse Reinforcement Learning" by P. Abbeel and A. Y. Ng, applied to two classic control tasks: CartPole and Pendulum.
Tutorial4RL: Tutorial for Reinforcement Learning. 强化学习入门教程.
code for paper Query-Dependent Prompt Evaluation and Optimization with Offline Inverse Reinforcement Learning
Enhancing Pedestrian Route Choice Models through Maximum-Entropy Deep Inverse Reinforcement Learning with Individual Covariates (MEDIRL-IC)
This repository contains implementations of Inverse Reinforcement Learning (IRL) algorithms based on the paper "Algorithms for Inverse Reinforcement Learning" - (Ng &Russell 2000)
Inverse Reinforcement Learning for Robot Hand Manipulation Task
A Survey Analyzing Generalization in Deep Reinforcement Learning
Inverse Reinforcement Learning Algorithm implementation with Python
The proceedings of top conference in 2017 on the topic of Reinforcement Learning (RL), including: AAAI, IJCAI, NeurIPS, ICML, ICLR, ICRA, AAMAS and more.
The proceedings of top conference in 2018 on the topic of Reinforcement Learning (RL), including: AAAI, IJCAI, NeurIPS, ICML, ICLR, ICRA, AAMAS and more.
The proceedings of top conference in 2019 on the topic of Reinforcement Learning (RL), including: AAAI, IJCAI, NeurIPS, ICML, ICLR, ICRA, AAMAS and more.
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