offline-reinforcement-learning topic

Experiment for Understanding the Effects of Dataset Characteristics on Offline Reinforcement Learning

kschweig

Official code repo for paper: Hybrid RL: Using both offline and online data can make RL efficient.

yudasong

Mohan-Zhang-u

Code for NeurIPS 2022 paper Exploiting Reward Shifting in Value-Based Deep RL

holarissun

[ICLR 2024] The official implementation of "Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model"

ZhengYinan-AIR

[NeurIPS 2023] The official implementation of "Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularization"

ZhengYinan-AIR

:battery: Datasets with baselines for offline multi-agent reinforcement learning.

instadeepai

Code for FOCAL Paper Published at ICLR 2021

LanqingLi1993

Official PyTorch implementation of "Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble" (NeurIPS'21)

snu-mllab

Author's implementation of ReBRAC, a minimalist improvement upon TD3+BC

tinkoff-ai