Alternatives and similar repositories for AdaRefiner

Users that are interested in AdaRefiner are comparing it to the libraries listed below

• csmile-1006 / PreferenceTransformer
  Preference Transformer: Modeling Human Preferences using Transformers for RL (ICLR2023 Accepted)
  ☆163Updated last year
• yuqingd / ellm
  ☆79Updated last year
• thu-rllab / CFCQL
  Code for NeurIPS2023 accepted paper: Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning.
  ☆36Updated 4 months ago
• mxu34 / prompt-dt
  Official code repository for Prompt-DT.
  ☆112Updated 2 years ago
• Dragon-Zhuang / BPPO
  Author's Pytorch implementation of ICLR2023 paper Behavior Proximal Policy Optimization (BPPO).
  ☆87Updated last year
• conglu1997 / SynthER
  Synthetic Experience Replay
  ☆92Updated last year
• etaoxing / multigame-dt
  Implementation of Multi-Game Decision Transformers in PyTorch
  ☆47Updated 2 years ago
• WeihaoTan / TWOSOME
  Implementation of TWOSOME
  ☆76Updated 5 months ago
• instadeepai / og-marl
  Datasets with baselines for offline multi-agent reinforcement learning.
  ☆172Updated last month
• NJU-RL / Meta-DT
  [NeurIPS 2024] Official Implementation of Meta-DT
  ☆44Updated 8 months ago
• Div99 / XQL
  Extreme Q-Learning: Max Entropy RL without Entropy
  ☆88Updated 2 years ago
• LAMDA-RL / OfflineRL-Lib
  Benchmarked implementations of Offline RL Algorithms.
  ☆73Updated 3 months ago
• liyang619 / COLE-Platform
  Overcooked human-AI experiment platform
  ☆38Updated last year
• xmu-rl-3dv / RiskQ
  ☆13Updated last year
• charleshsc / QT
  ICML'2024: Q-value Regularized Transformer for Offline Reinforcement Learning
  ☆30Updated 5 months ago
• ZJLAB-AMMI / LLM4Teach
  Python code to implement LLM4Teach, a policy distillation approach for teaching reinforcement learning agents with Large Language Model
  ☆43Updated last year
• tinnerhrhe / MTDiff
  ☆61Updated 7 months ago
• dmksjfl / MCQ
  Code for Mildly Conservative Q-learning for Offline Reinforcement Learning (NeurIPS 2022)
  ☆56Updated last year
• YiqinYang / ICQ
  Codes accompanying the paper "Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning" (NeurIPS…
  ☆74Updated 2 years ago
• jity16 / ACE-Off-Policy-Actor-Critic-with-Causality-Aware-Entropy-Regularization
  Official PyTorch implementation of "ACE:Off-Policy Actor-Critic with Causality-Aware Entropy Regularization"
  ☆30Updated last year
• LAMDA-RL / ODIS
  The implementation of ICLR 2023 paper "Discovering Generalizable Multi-agent Coordination Skills from Multi-task Offline Data".
  ☆43Updated 7 months ago
• OpenRL-Lab / TiZero
  Code accompanying the paper "TiZero: Mastering Multi-Agent Football with Curriculum Learning and Self-Play" (AAMAS 2023) 足球游戏智能体
  ☆58Updated last year
• maohangyu / TIT_open_source
  The official implementation of "Transformer in Transformer as Backbone for Deep Reinforcement Learning"
  ☆55Updated last year
• sfujim / TD7
  Author's PyTorch implementation of TD7 for online and offline RL
  ☆145Updated last year
• thu-ml / SRPO
  Codes accompanying the paper "Score Regularized Policy Optimization through Diffusion Behavior" (ICLR 2024).
  ☆44Updated last year
• yihaosun1124 / mobile
  Code for MOBILE: Model-Bellman Inconsistency Penalized Offline Policy Optimization
  ☆19Updated last year
• x35f / unstable_baselines
  Re-implementations of SOTA RL algorithms.
  ☆133Updated last year
• ReinholdM / Offline-Pre-trained-Multi-Agent-Decision-Transformer
  ☆110Updated 2 years ago
• baitingzbt / PEDA
  Scaling Pareto-Efficient Decision Making via Offline Multi-Objective RL, published in ICLR 2023
  ☆32Updated 6 months ago
• chrisyrniu / Recent-Advances-in-Multi-Agent-Reinforcement-Learning
  A collection of recent MARL papers
  ☆93Updated 7 months ago