Alternatives and similar repositories for MPO

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

• daisatojp / mpo
  PyTorch Implementation of the Maximum a Posteriori Policy Optimisation
  ☆76Updated 2 years ago
• martius-lab / pink-noise-rl
  ☆43Updated 2 years ago
• tedmoskovitz / TOP
  Implementation of Tactical Optimistic and Pessimistic value estimation
  ☆26Updated last year
• danielwillemsen / MAMBPO
  DecentralizedLearning
  ☆24Updated 2 years ago
• YYCAAA / V-MPO_Lunarlander
  Simple implementation of V-MPO proposed in https://arxiv.org/abs/1909.12238
  ☆47Updated 4 years ago
• montrealrobotics / iv_rl
  IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation
  ☆40Updated 7 months ago
• twni2016 / Memory-RL
  When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment, NeurIPS 2023 (oral)
  ☆62Updated last year
• Neo-X / SMiRL_Code
  ☆18Updated 2 years ago
• oist-cnru / Variational-Recurrent-Models
  Codes for the study "Variational Recurrent Models for Solving Partially Observable Control Tasks", published as a conference paper at ICL…
  ☆54Updated 4 years ago
• rraileanu / idaac
  ☆53Updated last year
• TakuyaHiraoka / Dropout-Q-Functions-for-Doubly-Efficient-Reinforcement-Learning
  Source files to replicate experiments in my ICLR 2022 paper.
  ☆71Updated 11 months ago
• yashbonde / Transformer-RL
  Experiments to train transformer network to master reinforcement learning environments.
  ☆32Updated 4 years ago
• eugenevinitsky / robust_RL_multi_adversary
  We investigate the effect of populations on finding good solutions to the robust MDP
  ☆28Updated 4 years ago
• NagisaZj / MetaCURE-Public
  ☆15Updated 2 years ago
• illidanlab / opolo-code
  ☆31Updated 4 years ago
• rmst / rlrd
  PyTorch implementation of our paper Reinforcement Learning with Random Delays (ICLR 2020)
  ☆41Updated 3 years ago
• pairlab / vagram
  [ICLR 22] Value Gradient weighted Model-Based Reinforcement Learning.
  ☆24Updated 2 years ago
• Ji4chenLi / Multi-Task-Batch-RL
  ☆26Updated 2 years ago
• Wenxuan-Zhou / PLAS
  Code for Latent Action Space for Offline Reinforcement Learning [CoRL 2020]
  ☆53Updated 3 years ago
• quantumiracle / MARS
  MARS is shortened for Multi-Agent Research Studio, a library for mulit-agent reinforcement learning research.
  ☆49Updated last year
• keynans / HypeRL
  Authors' PyTorch implementation of 'Recomposing the Reinforcement Learning Building-Blocks with Hypernetworks' (HypeRL)
  ☆25Updated 3 years ago
• uoe-agents / derl
  The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)
  ☆27Updated 3 years ago
• sfujim / SR-DICE
  Author's PyTorch implementation of SR-DICE for marginalized importance sampling
  ☆17Updated 3 years ago
• yobibyte / amorpheus
  My Body Is A Cage
  ☆41Updated 4 years ago
• hari-sikchi / AWAC
  Advantage weighted Actor Critic for Offline RL
  ☆50Updated 2 years ago
• RajGhugare19 / alm
  Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective
  ☆80Updated 2 years ago
• hari-sikchi / LOOP
  Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]
  ☆39Updated 2 years ago
• sahandrez / homomorphic_policy_gradient
  Author's PyTorch Implementation of Deep Homomorphic Policy Gradient (DHPG) - NeurIPS 2022 and JMLR 2024
  ☆23Updated last year
• twni2016 / f-IRL
  Inverse Reinforcement Learning via State Marginal Matching, CoRL 2020
  ☆45Updated last year
• tgangwani / GuidanceRewards
  Pytorch code for "Learning Guidance Rewards with Trajectory-space Smoothing" (NeurIPS 2020)
  ☆12Updated 3 years ago