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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
849 commits to main branch, last one 11 hours ago
An offline deep reinforcement learning library
Created
2020-05-23
1,682 commits to master branch, last one 8 days ago
An index of algorithms for offline reinforcement learning (offline-rl)
Created
2020-12-04
320 commits to main branch, last one about a year ago
Summary of key papers and blogs about diffusion models to learn about the topic. Detailed list of all published diffusion robotics papers.
Created
2022-11-02
47 commits to main branch, last one 5 months ago
Related papers for reinforcement learning, including classic papers and latest papers in top conferences
Created
2021-10-29
501 commits to main branch, last one about a month ago
A standard format for offline reinforcement learning datasets, with popular reference datasets and related utilities
Created
2022-10-06
386 commits to main branch, last one 19 days ago
A Japanese (Riichi) Mahjong AI Framework
Created
2021-08-05
339 commits to main branch, last one about a year ago
DI-engine docs (Chinese and English)
Created
2021-07-09
333 commits to main branch, last one 5 days ago
Official code from the paper "Offline RL for Natural Language Generation with Implicit Language Q Learning"
Created
2022-06-05
17 commits to main branch, last one about a year ago
🤖 Elegant implementations of offline safe RL algorithms in PyTorch
Created
2023-04-08
48 commits to main branch, last one 6 months ago
Clean single-file implementation of offline RL algorithms in JAX
Created
2024-01-22
356 commits to main branch, last one 2 months ago
A large-scale multi-modal pre-trained model
Created
2022-11-15
7 commits to master branch, last one 2 years ago
Python library for solving reinforcement learning (RL) problems using generative models (e.g. Diffusion Models).
Created
2024-04-11
42 commits to main branch, last one 25 days ago
SCOPE-RL: A python library for offline reinforcement learning, off-policy evaluation, and selection
Created
2020-12-18
800 commits to main branch, last one about a year ago
ExORL: Exploratory Data for Offline Reinforcement Learning
Created
2022-02-06
7 commits to main branch, last one 3 years ago
An out-of-the-box GUI tool for offline deep reinforcement learning
Created
2020-08-07
220 commits to master branch, last one 3 years ago
🔥 Datasets and env wrappers for offline safe reinforcement learning
Created
2023-06-05
27 commits to main branch, last one 6 months ago
official implementation for our paper Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning
Created
2023-05-09
3 commits to main branch, last one 7 months ago
Extreme Q-Learning: Max Entropy RL without Entropy
Created
2023-01-10
27 commits to main branch, last one 2 years ago
Benchmarked implementations of Offline RL Algorithms.
Created
2023-02-13
119 commits to master branch, last one 10 months ago
Reinforcement Learning Short Course
offline-rl
q-learning
ridesharing
deep-q-network
model-based-rl
policy-gradient
value-iteration
policy-iteration
fitted-q-iteration
dynamic-programming
monte-carlo-methods
policy-based-method
off-policy-evaluation
reinforcement-learning
markov-decision-processes
order-dispatch-recommendation
temporal-differencing-learning
Created
2023-02-07
90 commits to main branch, last one 2 months ago
Conservative Q learning in Jax
Created
2021-11-13
27 commits to master branch, last one 2 years ago
Learning representations for RL in Healthcare under a POMDP assumption
Created
2020-11-09
19 commits to main branch, last one about a month ago
PyTorch implementation of the implicit Q-learning algorithm (IQL)
Created
2021-10-23
10 commits to main branch, last one 3 years 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 12 months ago
Model-based Offline Policy Optimization re-implement all by pytorch
Created
2022-07-03
23 commits to master branch, last one about a year ago