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OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.
drl
r2d2
smac
atari
impala
mujoco
python
minigrid
self-play
offline-rl
pytorch-rl
distributed-system
imitation-learning
reinforcement-learning
exploration-exploitation
inverse-reinforcement-learning
multiagent-reinforcement-learning
reinforcement-learning-algorithms
distributed-reinforcement-learning
model-based-reinforcement-learning
Created
2021-07-04
821 commits to main branch, last one 16 days ago
Clean PyTorch implementations of imitation and reward learning algorithms
Created
2018-12-08
684 commits to master branch, last one 10 months ago
Implementations of selected inverse reinforcement learning algorithms.
Created
2015-10-23
31 commits to master branch, last one 2 years ago
Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)
Created
2018-12-09
144 commits to master branch, last one 3 years ago
Implementation of Inverse Reinforcement Learning (IRL) algorithms in Python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL
Created
2017-05-24
53 commits to master branch, last one 6 months ago
TensorFlow2 Reinforcement Learning
Created
2019-04-10
985 commits to master branch, last one 3 years ago
Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math
Created
2020-10-02
23 commits to master branch, last one 3 years ago
DI-engine docs (Chinese and English)
Created
2021-07-09
331 commits to main branch, last one 15 days ago
Maximum Entropy and Maximum Causal Entropy Inverse Reinforcement Learning Implementation in Python
Created
2019-05-06
108 commits to master branch, last one 7 months ago
[T-ITS] Driving Behavior Modeling using Naturalistic Human Driving Data with Inverse Reinforcement Learning
Created
2021-07-19
35 commits to main branch, last one 2 years ago
(NeurIPS '21 Spotlight) IQ-Learn: Inverse Q-Learning for Imitation
Created
2021-10-04
44 commits to main branch, last one about a year ago
Implementation of Inverse Reinforcement Learning Algorithm on a toy car in a 2D world problem, (Apprenticeship Learning via Inverse Reinforcement Learning Abbeel & Ng, 2004)
Created
2016-07-03
29 commits to master branch, last one 3 years ago
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.
control-systems
motion-planning
optimal-control
control-learning
learning-control
dynamical-systems
imitation-learning
end-to-end-learning
system-identification
reinforcement-learning
trajectory-optimisation
trajectory-optimization
differentiable-programming
pontryagin-maximum-principle
inverse-reinforcement-learning
reinforcement-learning-environments
Created
2020-01-01
36 commits to master branch, last one about a year ago
Code for the ACL paper "No Metrics Are Perfect: Adversarial Reward Learning for Visual Storytelling"
Created
2018-04-24
36 commits to master branch, last one 3 years ago
Tutorial4RL: Tutorial for Reinforcement Learning. 强化学习入门教程.
Created
2023-01-07
16 commits to main branch, last one 7 months ago
Predicting Goal-directed Human Attention Using Inverse Reinforcement Learning (CVPR2020)
Created
2020-03-27
59 commits to master branch, last one about a year ago
Pytorch GAIL VAIL AIRL VAIRL EAIRL SQIL Implementation
Created
2021-03-11
97 commits to main branch, last one 3 years ago
A curated list of awesome multi-agent learning papers
Created
2021-12-20
20 commits to main branch, last one 2 years ago
Contains implementation of the FILTER algorithm for exponentially faster inverse reinforcement learning.
Created
2023-03-24
3 commits to master branch, last one about a year ago
Inverse Reinforcement Learning via State Marginal Matching, CoRL 2020
Created
2020-08-05
27 commits to main branch, last one about a year ago
code for paper Query-Dependent Prompt Evaluation and Optimization with Offline Inverse Reinforcement Learning
Created
2023-09-10
58 commits to main branch, last one 8 months ago
The proceedings of top conference in 2023 on the topic of Reinforcement Learning (RL), including: AAAI, IJCAI, NeurIPS, ICML, ICLR, ICRA, AAMAS and more.
aaai-2023
iclr-2023
icml-2023
icra-2023
aamas-2023
ijcai-2023
neurips-2023
reinforcement-learning
deep-reinforcement-learning
meta-reinforcement-learning
safe-reinforcement-learning
reinforcement-learning-paper
reinforcement-learning-papers
inverse-reinforcement-learning
deep-reinforcement-learning-paper
deep-reinforcement-learning-papers
multi-agent-reinforcement-learning
hierarchical-reinforcement-learning
Created
2023-11-11
18 commits to main branch, last one about a year ago