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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
836 commits to main branch, last one 14 days ago
An offline deep reinforcement learning library
Created
2020-05-23
1,660 commits to master branch, last one 13 hours ago
An index of algorithms for offline reinforcement learning (offline-rl)
Created
2020-12-04
320 commits to main branch, last one 11 months 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 3 months ago
Related papers for reinforcement learning, including classic papers and latest papers in top conferences
Created
2021-10-29
500 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
384 commits to main branch, last one 3 days ago
A Japanese (Riichi) Mahjong AI Framework
Created
2021-08-05
339 commits to main branch, last one 11 months ago
DI-engine docs (Chinese and English)
Created
2021-07-09
332 commits to main branch, last one 19 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 3 months ago
A large-scale multi-modal pre-trained model
Created
2022-11-15
7 commits to master branch, last one about a year ago
Clean single-file implementation of offline RL algorithms in JAX
Created
2024-01-22
356 commits to main branch, last one 13 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 2 years ago
Python library for solving reinforcement learning (RL) problems using generative models (e.g. Diffusion Models).
Created
2024-04-11
41 commits to main branch, last one 18 days 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
Extreme Q-Learning: Max Entropy RL without Entropy
Created
2023-01-10
27 commits to main branch, last one about a year ago
🔥 Datasets and env wrappers for offline safe reinforcement learning
Created
2023-06-05
27 commits to main branch, last one 3 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 5 months ago
Benchmarked implementations of Offline RL Algorithms.
Created
2023-02-13
119 commits to master branch, last one 8 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 21 days ago
Learning representations for RL in Healthcare under a POMDP assumption
Created
2020-11-09
14 commits to main branch, last one 3 years ago
Conservative Q learning in Jax
Created
2021-11-13
27 commits to master branch, last one about a year 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 9 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