Alternatives and similar repositories for omd

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

• joelouismarino / variational_rl
  Variational Reinforcement Learning
  ☆16Updated last year
• joeybose / FloRL
  Implicit Normalizing Flows + Reinforcement Learning
  ☆61Updated 6 years ago
• nnaisense / MAX
  Code for reproducing experiments in Model-Based Active Exploration, ICML 2019
  ☆79Updated 6 years ago
• jannerm / gamma-models
  Code for the paper "Gamma-Models: Generative Temporal Difference Learning for Infinite-Horizon Prediction"
  ☆44Updated last year
• KyriacosShiarli / taco
  ☆25Updated 6 years ago
• geyang / plan2vec
  Public Release of Plan2vec Implementation in pyTorch
  ☆57Updated 2 years ago
• ethanluoyc / e2c-pytorch
  E2C implementation in PyTorch
  ☆43Updated 8 years ago
• uber-research / D3G
  Estimating Q(s,s') with Deep Deterministic Dynamics Gradients
  ☆32Updated 5 years ago
• juliuskunze / cwvae-jax
  Clockwork VAEs in JAX/Flax
  ☆32Updated 4 years ago
• johanobandoc / revisiting_rainbow
  Revisiting Rainbow
  ☆75Updated 4 years ago
• facebookresearch / adversarially-motivated-intrinsic-goals
  This repository contains code for the method and experiments of the paper "Learning with AMIGo: Adversarially Motivated Intrinsic Goals".
  ☆63Updated last year
• Kaixhin / GUDRL
  Generalised UDRL
  ☆37Updated 3 years ago
• Miffyli / policy-supervectors
  Creating fixed-length vectors to describe RL/GA policies
  ☆20Updated 3 years ago
• ElisevanderPol / PRAE
  Plannable Approximations to MDP Homomorphisms: Equivariance under Actions
  ☆30Updated 5 years ago
• philipjball / OffCon3
  📴 OffCon^3: SOTA PyTorch SAC and TD3 Implementations (arxiv: 2101.11331)
  ☆24Updated 4 years ago
• instadeepai / fastpbrl
  Vectorization techniques for fast population-based training.
  ☆56Updated 2 years ago
• zafarali / emdp
  Easy MDPs and grid worlds with accessible transition dynamics to do exact calculations
  ☆49Updated 3 years ago
• ElisevanderPol / mdp-homomorphic-networks
  ☆29Updated 4 years ago
• RLAgent / state-marginal-matching
  Efficient Exploration via State Marginal Matching (2019)
  ☆69Updated 6 years ago
• orybkin / video-gcp
  Repository for the paper "Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors"
  ☆44Updated 2 years ago
• willwhitney / dynamics-aware-embeddings
  Official implementation of DynE, Dynamics-aware Embeddings for RL
  ☆43Updated 4 years ago
• facebookresearch / dcem
  The Differentiable Cross-Entropy Method
  ☆123Updated 4 years ago
• yilundu / task_agnostic_dynamics_prior
  Code Release for Task Agnostic Dynamics Priors for Deep Reinforcement Learning
  ☆12Updated 6 years ago
• bstadie / krazyworld
  krazy grid world
  ☆25Updated 5 years ago
• zdhNarsil / Stochastic-Marginal-Actor-Critic
  Official pytorch implementation for our ICLR 2023 paper "Latent State Marginalization as a Low-cost Approach for Improving Exploration".
  ☆24Updated 2 years ago
• facebookresearch / icp-block-mdp
  Invariant Causal Prediction for Block MDPs
  ☆44Updated 5 years ago
• lili-chen / SEER
  Official codebase for Improving Computational Efficiency in Visual Reinforcement Learning via Stored Embeddings.
  ☆21Updated 4 years ago
• MinRegret / deluca
  Performant, differentiable reinforcement learning
  ☆24Updated 2 years ago
• frt03 / inference-based-rl
  Co-Adaptation of Algorithmic and Implementational Innovations in Inference-based Deep Reinforcement Learning (NeurIPS2021)
  ☆20Updated 3 years ago
• young-geng / SimpleSAC
  A simple and easy to use implementation of the soft actor-critic algorithm.
  ☆15Updated 2 years ago