1999Diego's Stars
Sherman-Shi/pomdp-baselines
Simple (but often Strong) Baselines for POMDPs in PyTorch, ICML 2022
clvrai/awesome-rl-envs
Sherman-Shi/Deep-Reinforcement-Learning-under-Partial-Observability
A paper list of Deep Reinforcement Learning algorithms under Partial Obsrvability
Sherman-Shi/Partially-Observable-Offline-Dataset-Collecting
Code for POMDP Offline Dataset Collection
twni2016/pomdp-baselines
Simple (but often Strong) Baselines for POMDPs in PyTorch, ICML 2022
Sherman-Shi/OSG
This is for OSG project
anuragajay/decision-diffuser
corl-team/CORL
High-quality single-file implementations of SOTA Offline and Offline-to-Online RL algorithms: AWAC, BC, CQL, DT, EDAC, IQL, SAC-N, TD3+BC, LB-SAC, SPOT, Cal-QL, ReBRAC
vwxyzjn/cleanrl
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
weifantt/Dish-TS
Time Series Forecasting, Distribution Shift
berkeleydeeprlcourse/homework_fall2023
Roger-Li/ucb_cs285_homework_fall2023
UCB 285 Deep Reinforcement Learning (Fall 2023) Homeworks
silencial/DeepRL
Berkeley CS285 2019 homework solution
QiangLong2017/Optimization-Theory-and-Algorithm
用于存放《最优化理论与算法》代码与课件
apachecn/ailearning
AiLearning:数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2