945716994 / awesome-Causal-RL-papers

Related projects ⓘ

Alternatives and complementary repositories for awesome-Causal-RL-papers

• familyld / Awesome-Causal-RL
  A curated list of causal reinforcement learning resources.
  ☆52Updated 10 months ago
• sumedh7 / CausalCuriosity
  Official implementation of Causal Curiosity: RL Agents Discovering Self-supervised Experiments for Causal Representation Learning at ICML…
  ☆37Updated 3 years ago
• huiyang-yi / Awesome-Causality-and-ML-Papers
  关于causal discovery, invariant learning, machine learning等方向的论文阅读笔记和slides总结
  ☆25Updated 10 months ago
• jidiai / SummerCourse2021
  ☆25Updated 3 years ago
• FanmingL / ESCP
  Code for Adapting Environment Sudden Changes by Learning Context Sensitive Policy
  ☆20Updated 2 years ago
• bramdemoor-BE / Reward-shaping-to-improve-the-performance-of-DRL-in-inventory-management
  Link to paper: https://www.ssrn.com/abstract=3804655
  ☆13Updated 3 years ago
• jidiai / SummerCourse2022
  ☆89Updated 2 years ago
• XanderJC / scalable-birl
  Scalable Bayesian Inverse Reinforcement Learning (ICLR 2021) by Alex J. Chan and Mihaela van der Schaar.
  ☆43Updated 3 years ago
• xionghuichen / RLAssistant
  RLA is a tool for managing your RL experiments automatically
  ☆70Updated last year
• ElSonidoDelViento / RLCourse
  此项目中将上传我在B站《强化学习理论基础》系列视频中的板书、参考资料等内容。
  ☆72Updated last year
• anpwu / Awesome-Causal-LLM
  ☆16Updated 3 weeks ago
• feidieufo / homework
  Assignments for CS294-112.
  ☆30Updated 5 years ago
• KaiYan289 / RLpapersnote
  ☆38Updated last month
• rlchina / RLCN
  ☆121Updated 3 years ago
• causal-rl-anonymous / causal-rl
  ☆43Updated 2 years ago
• polixir / OfflineRL
  A collection of offline reinforcement learning algorithms.
  ☆158Updated 5 months ago
• dobro12 / CPO
  Constrained Policy Optimization implementation on Safety Gym
  ☆21Updated 2 years ago
• jidiai / TaxAI
  ☆50Updated 3 months ago
• JorenGijsbrechts / DRL_A3C_inventory
  ☆18Updated 2 years ago
• emliang / Multi-Agent-RL
  Paper list of multi-agent reinforcement learning (MARL)
  ☆25Updated 3 years ago
• ioanabica / Invariant-Causal-Imitation-Learning
  Code for NeurIPS 2021 paper: "Invariant Causal Imitation Learning for Generalizable Policies" by I. Bica, D. Jarrett, M. van der Schaar
  ☆26Updated 2 years ago
• liyc-ai / RL-pytorch
  A beginner-friendly repository on Deep Reinforcement Learning (RL), written in PyTorch.
  ☆22Updated last week
• huanghanchi / CAMRL
  ☆28Updated last year
• asonabend / ESRL
  Code for Expert Supervised Reinforcement Learning
  ☆10Updated 3 years ago
• jiangsy / mbpo_pytorch
  ☆28Updated 2 years ago
• GilgameshD / GRADER
  This is the official implementation of NeurIPS 2022 paper "Generalizing Goal-Conditioned Reinforcement Learning with Variational Causal R…
  ☆31Updated last year
• RunzheStat / TestMDP
  Implementation of "Does the Markov Decision Process Fit the Data: Testing for the Markov Property in Sequential Decision Making”(ICML 202…
  ☆11Updated 3 years ago
• x35f / unstable_baselines
  Re-implementations of SOTA RL algorithms.
  ☆129Updated last year
• deligentfool / mfrl_pytorch
  Implementation of Mean Field Multi-Agent Reinforcement Learning in Pytorch
  ☆14Updated 6 months ago
• deep-reinforcement-learning-book / Chapter4-DQN
  DQN examples codes in chapter 4
  ☆40Updated last year