Alternatives and similar repositories for rddlgym

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

• pyrddlgym-project / pyRDDLGym
  A toolkit for auto-generation of OpenAI Gym environments from RDDL description files.
  ☆88Updated last month
• facebookresearch / svg
  On the model-based stochastic value gradient for continuous reinforcement learning
  ☆57Updated 2 years ago
• sebascuri / hucrl
  ☆32Updated 2 years ago
• zafarali / emdp
  Easy MDPs and grid worlds with accessible transition dynamics to do exact calculations
  ☆49Updated 3 years ago
• toshikwa / rljax
  A collection of RL algorithms written in JAX.
  ☆104Updated 3 years ago
• Bellman-devs / bellman
  Model-based reinforcement learning in TensorFlow
  ☆56Updated 4 years ago
• behaviorguidedRL / BGRL
  Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization
  ☆24Updated 5 years ago
• siekmanj / r2l
  Recurrent continuous reinforcement learning algorithms implemented in Pytorch.
  ☆51Updated 4 years ago
• jonasrothfuss / model_ensemble_meta_learning
  Implementation of the Model-Based Meta-Policy-Optimization (MB-MPO) algorithm
  ☆44Updated 7 years ago
• ssanner / rddlsim
  Automatically exported from code.google.com/p/rddlsim
  ☆55Updated last year
• nnaisense / MAGE
  Learning Action-Value Gradients in Model-based Policy Optimization
  ☆32Updated 4 years ago
• facebookresearch / level-replay
  This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …
  ☆92Updated 4 years ago
• ElisevanderPol / mdp-homomorphic-networks
  ☆30Updated 4 years ago
• yfletberliac / adversarially-guided-actor-critic
  AGAC: Adversarially Guided Actor-Critic
  ☆47Updated 4 years ago
• johanobandoc / revisiting_rainbow
  Revisiting Rainbow
  ☆75Updated 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
• pairlab / vagram
  [ICLR 22] Value Gradient weighted Model-Based Reinforcement Learning.
  ☆25Updated 2 years ago
• alversafa / option-critic-arch
  Implementation of the Option-Critic Architecture
  ☆40Updated 7 years ago
• chloechsu / revisiting-ppo
  ☆47Updated 5 years ago
• perrin-isir / xpag
  a modular reinforcement learning library with JAX agents
  ☆27Updated 9 months ago
• hari-sikchi / LOOP
  Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]
  ☆41Updated 3 years ago
• LARG / escape_room
  An implementation of the Escape Room domain for Hierarchical Reinforcement Learning.
  ☆25Updated 6 years ago
• ElisevanderPol / symmetrizer
  ☆32Updated 4 years ago
• entity-neural-network / entity-gym
  Standard interface for entity based reinforcement learning environments.
  ☆38Updated last year
• d3sm0 / gym_pomdp
  Gym-like extensions for POMDP
  ☆56Updated 4 years ago
• manantomar / Mirror-Descent-Policy-Optimization
  Mirror Descent Policy Optimization
  ☆41Updated 5 years ago
• WilsonWangTHU / POPLIN
  ☆99Updated 2 years ago
• Miffyli / rl-action-space-shaping
  Experiment code for testing effect of various action space transformations in reinforcement learning
  ☆30Updated 5 years ago
• moratodpg / imp_marl
  IMP-MARL: a Suite of Environments for Large-scale Infrastructure Management Planning via MARL
  ☆45Updated 2 months ago
• montrealrobotics / iv_rl
  IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation
  ☆40Updated 5 months ago