Alternatives and similar repositories for SmartLogger

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

• typoverflow / UtilsRL
  A python module designed for agile RL algorithm developing.
  ☆26Updated last year
• xionghuichen / MAPLE
  The Official Code for Offline Model-based Adaptable Policy Learning (NeurIPS'21 & TPAMI)
  ☆24Updated last year
• yihaosun1124 / mobile
  Code for MOBILE: Model-Bellman Inconsistency Penalized Offline Policy Optimization
  ☆22Updated last year
• liyc-ai / RL-pytorch
  A beginner-friendly repository on Deep Reinforcement Learning (RL), written in PyTorch.
  ☆26Updated 5 months ago
• Baichenjia / PBRL
  Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning
  ☆29Updated 3 years ago
• xionghuichen / RLAssistant
  RLA is a tool for managing your RL experiments automatically
  ☆72Updated 2 years ago
• yihaosun1124 / pytorch-mopo
  re-implementation of the offline model-based RL algorithm MOPO in pytorch
  ☆25Updated 3 years ago
• tianxusky / Code-for-Error-Bounds-of-Imitating-Policies-and-Environments
  ☆10Updated 5 years ago
• LAMDA-RL / PRDC
  Author's PyTorch implementation of ICML'23 paper "Policy Regularization with Dataset Constraint for Offline Reinforcement Learning" for D…
  ☆18Updated last year
• KAIST-AILab / imitation-dice
  ☆17Updated last year
• lafmdp / HIDIL
  [NeurIPS'20] Code for the paper "Offline Imitation Learning with a Misspecified Simulator"
  ☆12Updated 4 years ago
• polixir / d3pe
  D3PE (Deep Data-Driven Policy Evaluation) aims to evaluation a large set of candidate policies from a fixed dataset to select best ones.
  ☆11Updated 3 years ago
• LAMDA-RL / OfflineRL-Lib
  Benchmarked implementations of Offline RL Algorithms.
  ☆76Updated 9 months ago
• snu-mllab / EDAC
  Official PyTorch implementation of "Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble" (NeurIPS'21)
  ☆79Updated 3 years ago
• wenzhe-li / romi
  Code for NeurIPS 2021 paper "Offline Reinforcement Learning with Reverse Model-based Imagination"
  ☆19Updated 4 years ago
• x35f / unstable_baselines
  Re-implementations of SOTA RL algorithms.
  ☆136Updated 2 years ago
• ryanxhr / DWBC
  [ICML 2022] The official implementation of DWBC in "Discriminator-Weighted Offline Imitation Learning from Suboptimal Demonstrations"
  ☆35Updated 2 years ago
• danielshin1 / oprl
  Official Codebase for TMLR 2023, Benchmarks and Algorithms for Offline Preference-Based Reward Learning
  ☆20Updated 3 years ago
• ryanxhr / POR
  [NeurIPS 2022 Oral] The official implementation of POR in "A Policy-Guided Imitation Approach for Offline Reinforcement Learning"
  ☆57Updated 2 years ago
• ryanxhr / IVR
  [ICLR 2023 Oral] The official implementation of SQL and EQL in "Offline RL with No OOD Actions: In-Sample Learning via Implicit Value Reg…
  ☆47Updated 2 years ago
• pcheng2 / TSRL
  ☆19Updated 2 years ago
• jiangsy / mbpo_pytorch
  ☆30Updated 3 years ago
• lilucse / SparseNetwork4DRL
  [ICML 2025 oral] Network Sparsity Unlocks the Scaling Potential of Deep Reinforcement Learning
  ☆39Updated 6 months ago
• jon--lee / decision-pretrained-transformer
  Implemention of the Decision-Pretrained Transformer (DPT) from the paper Supervised Pretraining Can Learn In-Context Reinforcement Learni…
  ☆80Updated last year
• jiangsy / slbo_pytorch
  ☆15Updated 5 years ago
• davidbrandfonbrener / onestep-rl
  ☆44Updated 4 years ago
• ZhengYinan-AIR / OMIGA
  [NeurIPS 2023] The official implementation of "Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularizat…
  ☆39Updated last year
• gwthomas / IQL-PyTorch
  A PyTorch implementation of Implicit Q-Learning
  ☆93Updated 4 years ago
• typoverflow / WiseRL
  PyTorch implementations for Offline Preference-Based RL (PbRL) algorithms
  ☆21Updated 9 months ago
• PKU-RL / CORRO
  [ICML 2022] Robust Task Representations for Offline Meta-Reinforcement Learning via Contrastive Learning
  ☆37Updated 3 years ago