Alternatives and similar repositories for self-predictive-rl

Users that are interested in self-predictive-rl are comparing it to the libraries listed below

• info-structures / ais
  This repository contains the code for RL for POMDPs through learning an Approximate Information State.
  ☆21Updated 3 years ago
• montrealrobotics / iv_rl
  IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation
  ☆40Updated 6 months ago
• tseyde / decqn
  ☆36Updated 2 years ago
• twni2016 / Memory-RL
  When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment, NeurIPS 2023 (oral)
  ☆62Updated last year
• 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
• sahandrez / homomorphic_policy_gradient
  Author's PyTorch Implementation of Deep Homomorphic Policy Gradient (DHPG) - NeurIPS 2022 and JMLR 2024
  ☆23Updated last year
• yardenas / la-mbda
  LAMBDA is a model-based reinforcement learning agent that uses Bayesian world models for safe policy optimization
  ☆33Updated 2 years ago
• tedmoskovitz / TOP
  Implementation of Tactical Optimistic and Pessimistic value estimation
  ☆25Updated last year
• yuchen-x / MacroMARL
  ☆21Updated last year
• pairlab / vagram
  [ICLR 22] Value Gradient weighted Model-Based Reinforcement Learning.
  ☆24Updated 2 years ago
• facebookresearch / svg
  On the model-based stochastic value gradient for continuous reinforcement learning
  ☆55Updated last year
• ElisevanderPol / mdp-homomorphic-networks
  ☆29Updated 4 years ago
• hari-sikchi / LOOP
  Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]
  ☆38Updated 2 years ago
• omron-sinicx / action-constrained-RL-benchmark
  ☆23Updated last year
• RyanNavillus / reward-surfaces
  ☆16Updated last year
• hari-sikchi / DVL
  A Dual-RL method DVL: Dual-V Learning for offline and online reinforcement learning
  ☆11Updated last year
• zchuning / latco
  Model-Based Reinforcement Learning via Latent-Space Collocation.
  ☆33Updated 2 years ago
• nnaisense / MAGE
  Learning Action-Value Gradients in Model-based Policy Optimization
  ☆31Updated 3 years ago
• ikostrikov / jaxrl2
  ☆47Updated 2 years ago
• yobibyte / amorpheus
  My Body Is A Cage
  ☆40Updated 4 years ago
• illidanlab / opolo-code
  ☆31Updated 4 years ago
• martius-lab / pink-noise-rl
  ☆42Updated 2 years ago
• sebascuri / hucrl
  ☆30Updated last year
• sfujim / SR-DICE
  Author's PyTorch implementation of SR-DICE for marginalized importance sampling
  ☆16Updated 3 years ago
• google-deepmind / active_ops
  ☆32Updated 9 months ago
• Neo-X / SMiRL_Code
  ☆18Updated 2 years ago
• boschresearch / ube-mbrl
  Model-Based Uncertainty in Value Functions (AISTATS2023)
  ☆18Updated 2 years ago
• RajGhugare19 / stitching-is-combinatorial-generalisation
  [ICLR 2024] Closing the Gap between TD Learning and Supervised Learning - A Generalisation Point of View.
  ☆23Updated last year
• keynans / HypeRL
  Authors' PyTorch implementation of 'Recomposing the Reinforcement Learning Building-Blocks with Hypernetworks' (HypeRL)
  ☆25Updated 3 years ago
• zhaoyi11 / tcrl
  ☆24Updated last year