Alternatives and similar repositories for task_agnostic_dynamics_prior:

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

• joelouismarino / variational_rl
  Variational Reinforcement Learning
  ☆16Updated 6 months ago
• evgenii-nikishin / omd
  JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"
  ☆43Updated 3 years ago
• Kaixhin / GUDRL
  Generalised UDRL
  ☆37Updated 2 years ago
• geyang / plan2vec
  Public Release of Plan2vec Implementation in pyTorch
  ☆56Updated 2 years ago
• KyriacosShiarli / taco
  ☆25Updated 6 years ago
• Wenxuan-Zhou / EPI
  Code for Environment Probing Interaction Policies [ICLR 2019]
  ☆29Updated 5 years ago
• philipjball / ReadyPolicyOne
  🔍 Codebase for the ICML '20 paper "Ready Policy One: World Building Through Active Learning" (arxiv: 2002.02693)
  ☆18Updated last year
• snu-mllab / EMI
  Implementation for ICML 2019 paper, EMI: Exploration with Mutual Information.
  ☆36Updated 4 years ago
• flowersteam / Unsupervised_Goal_Space_Learning
  Code to reproduce the results in the "Unsupervised Learning of Goal Spaces for Intrinsically Motivated Exploration"
  ☆21Updated 6 years ago
• YyzHarry / SV-RL
  [ICLR 2020, Oral] Harnessing Structures for Value-Based Planning and Reinforcement Learning
  ☆33Updated 4 years ago
• nnaisense / MAX
  Code for reproducing experiments in Model-Based Active Exploration, ICML 2019
  ☆78Updated 5 years ago
• jannerm / gamma-models
  Code for the paper "Gamma-Models: Generative Temporal Difference Learning for Infinite-Horizon Prediction"
  ☆44Updated last year
• ethanluoyc / e2c-pytorch
  E2C implementation in PyTorch
  ☆43Updated 7 years ago
• DartML / PPO-Stein-Control-Variate
  Proximal Policy Optimization with Stein Control Variates:
  ☆33Updated 6 years ago
• Kajiyu / kanerva_machine
  The implementation of "The Kanerva Machine" with Pytorch and Pyro
  ☆12Updated 6 years ago
• zchuning / latco
  Model-Based Reinforcement Learning via Latent-Space Collocation.
  ☆32Updated last year
• uber-research / D3G
  Estimating Q(s,s') with Deep Deterministic Dynamics Gradients
  ☆32Updated 4 years ago
• david-abel / rl_abstraction
  Code for experimenting with state and action abstractions in reinforcement learning.
  ☆30Updated 4 years ago
• KMarino / hrl-ep3
  Code for our paper: Hierarchical RL Using an Ensemble of Proprioceptive Periodic Policies
  ☆15Updated 5 years ago
• orybkin / video-gcp
  Repository for the paper "Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors"
  ☆44Updated 2 years ago
• facebookresearch / icp-block-mdp
  Invariant Causal Prediction for Block MDPs
  ☆44Updated 4 years ago
• david-abel / transfer_rl_icml_2018
  A codebase for experimenting with various approaches to action priors.
  ☆18Updated 6 years ago
• ElisevanderPol / PRAE
  Plannable Approximations to MDP Homomorphisms: Equivariance under Actions
  ☆29Updated 4 years ago
• Feryal / craft-env
  ☆44Updated 6 years ago
• HumanCompatibleAI / rlsp
  Reward Learning by Simulating the Past
  ☆43Updated 5 years ago
• justinjfu / diagnosing_qlearning
  Code for Diagnosing Bottlenecks in Deep Q-learning. Contains implementations of tabular environments plus solvers.
  ☆19Updated 5 years ago
• tianjunz / MADE
  ☆19Updated 3 years ago
• Pervasive-AI-Lab / crlmaze
  Continual Reinforcement Learning in 3D Non-stationary Environments
  ☆36Updated 5 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".
  ☆61Updated last year
• juliuskunze / cwvae-jax
  Clockwork VAEs in JAX/Flax
  ☆32Updated 3 years ago