Alternatives and similar repositories for OFENet:

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

• pairlab / d2rl
  Code for the paper "D2RL: Deep Dense Architectures for Reinforcement Learning"
  ☆38Updated 4 years ago
• ThibautTheate / Risk-Sensitive-Policy-with-Distributional-Reinforcement-Learning
  Official implementation of the algorithmic approach presented in the research paper entitled "Risk-Sensitive Policy with Distributional R…
  ☆15Updated 2 years ago
• markub3327 / rl-toolkit
  RL-Toolkit: A Research Framework for Robotics
  ☆19Updated last month
• TakuyaHiraoka / Dropout-Q-Functions-for-Doubly-Efficient-Reinforcement-Learning
  Source files to replicate experiments in my ICLR 2022 paper.
  ☆67Updated 7 months ago
• MahanFathi / Model-Based-RL
  Model-based Policy Gradients
  ☆30Updated 4 years ago
• MaxSobolMark / OOO
  Official repo for Offline RL for Online RL
  ☆14Updated last year
• syuntoku14 / pytorch-rl-il
  A library for building reinforcement learning and imitation learning agents in Pytorch
  ☆58Updated 4 years ago
• hari-sikchi / LOOP
  Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]
  ☆36Updated 2 years ago
• rmst / rlrd
  PyTorch implementation of our paper Reinforcement Learning with Random Delays (ICLR 2020)
  ☆40Updated 2 years ago
• hari-sikchi / AWAC
  Advantage weighted Actor Critic for Offline RL
  ☆50Updated 2 years ago
• KarlXing / RLCodebase
  RLCodebase: PyTorch Codebase For Deep Reinforcement Learning Algorithms
  ☆26Updated last year
• yashbonde / Transformer-RL
  Experiments to train transformer network to master reinforcement learning environments.
  ☆33Updated 3 years ago
• apexrl / COIL
  Code for NeurIPS 2021 paper "Curriculum Offline Imitation Learning"
  ☆18Updated 2 years ago
• danielwillemsen / MAMBPO
  DecentralizedLearning
  ☆23Updated 2 years ago
• Steven-Ho / VALOR
  Implementation of VALOR (Variational Option Discovery Algorithms)
  ☆10Updated 5 years ago
• martius-lab / HiTS
  Code for the paper: Hierarchical Reinforcement Learning With Timed Subgoals, published at NeurIPS 2021
  ☆31Updated 2 years ago
• seongun-kim / vcrl
  [ICML 2023] Variational Curriculum Reinforcement Learning for Unsupervised Discovery of Skills
  ☆12Updated last year
• ben-eysenbach / mnm
  Code to accompany the paper "Mismatched No More: Joint Model-Policy Optimization for Model-Based RL"
  ☆21Updated 3 years ago
• montaserFath / BCO
  behavior cloning from observation
  ☆35Updated 4 years ago
• zwfightzw / Meta-Critic
  ☆9Updated 4 years ago
• yuchen-x / MacroMARL
  ☆21Updated 10 months ago
• geekyutao / Awesome-Sample-Efficient-RL
  A paper list of sample-efficient reinforcement learning
  ☆13Updated 3 years ago
• keynans / HypeRL
  Authors' PyTorch implementation of 'Recomposing the Reinforcement Learning Building-Blocks with Hypernetworks' (HypeRL)
  ☆25Updated 3 years ago
• BY571 / Randomized-Ensembled-Double-Q-learning-REDQ-
  Pytorch implementation of Randomized Ensembled Double Q-learning (REDQ)
  ☆21Updated 3 years ago
• toshikwa / slac.pytorch
  PyTorch implementation of Stochastic Latent Actor-Critic(SLAC).
  ☆89Updated 6 months ago
• quantumiracle / MARS
  MARS is shortened for Multi-Agent Research Studio, a library for mulit-agent reinforcement learning research.
  ☆45Updated 11 months ago
• toshikwa / soft-actor-critic.pytorch
  PyTorch implementation of Soft Actor-Critic(SAC).
  ☆102Updated 4 years ago
• KarlXing / RL-Visual-Continuous-Control
  RL Algorithms for Visual Continuous Control
  ☆33Updated last year
• karush17 / esac
  Evolution-based Soft Actor-Critic (ESAC)
  ☆41Updated 6 months ago
• montrealrobotics / iv_rl
  IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation
  ☆39Updated 3 months ago