Alternatives and similar repositories for affordances_option_models

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

• Kaixhin / GUDRL
  Generalised UDRL
  ☆37Updated 3 years ago
• juliuskunze / cwvae-jax
  Clockwork VAEs in JAX/Flax
  ☆32Updated 4 years ago
• joelouismarino / variational_rl
  Variational Reinforcement Learning
  ☆16Updated last year
• brentyi / minGPT-flax
  GPT implementation in Flax
  ☆18Updated 3 years ago
• HumanCompatibleAI / rlsp
  Reward Learning by Simulating the Past
  ☆46Updated 6 years ago
• google-deepmind / zipfian_environments
  ☆28Updated 3 years ago
• geyang / plan2vec
  Public Release of Plan2vec Implementation in pyTorch
  ☆57Updated 3 years ago
• ml-jku / helm
  ☆57Updated last year
• evgenii-nikishin / omd
  JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"
  ☆43Updated 4 years ago
• quasimetric-learning / torch-quasimetric
  PyTorch Package For Quasimetric Learning
  ☆44Updated last year
• microsoft / segar
  Sandbox environment for generalizable agent research
  ☆25Updated 3 years ago
• google-deepmind / nao_top10
  ☆19Updated 2 years ago
• tristandeleu / jax-meta-learning
  A collection of meta-learning algorithms in Jax
  ☆23Updated 3 years ago
• lucidrains / HTM-pytorch
  Implementation of Hierarchical Transformer Memory (HTM) for Pytorch
  ☆76Updated 4 years ago
• Kajiyu / kanerva_machine
  The implementation of "The Kanerva Machine" with Pytorch and Pyro
  ☆12Updated 7 years ago
• mfranzs / meta-learning-curiosity-algorithms
  ☆80Updated 2 years ago
• ElisevanderPol / PRAE
  Plannable Approximations to MDP Homomorphisms: Equivariance under Actions
  ☆30Updated 5 years ago
• WendyShang / flare
  Reinforcement Learning with Latent Flow
  ☆44Updated 4 years ago
• jannerm / gamma-models
  Code for the paper "Gamma-Models: Generative Temporal Difference Learning for Infinite-Horizon Prediction"
  ☆45Updated 2 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".
  ☆64Updated 2 years ago
• philipjball / ReadyPolicyOne
  🔍 Codebase for the ICML '20 paper "Ready Policy One: World Building Through Active Learning" (arxiv: 2002.02693)
  ☆18Updated 2 years ago
• jcoreyes / evolvingrl
  Supplementary Data for Evolving Reinforcement Learning Algorithms
  ☆47Updated 4 years ago
• google-deepmind / dm_fast_mapping
  ☆54Updated 4 years ago
• lili-chen / SEER
  Official codebase for Improving Computational Efficiency in Visual Reinforcement Learning via Stored Embeddings.
  ☆21Updated 4 years ago
• arnavkj1995 / VSG
  Learning Robust Dynamics Through Variational Sparse Gating
  ☆20Updated 3 years ago
• minqi / wordcraft
  An environment for benchmarking commonsense agents
  ☆29Updated 5 years ago
• EleutherAI / equivariance
  A framework for implementing equivariant DL
  ☆10Updated 4 years ago
• lucidrains / ESBN-pytorch
  Usable implementation of Emerging Symbol Binding Network (ESBN), in Pytorch
  ☆25Updated 4 years ago
• denisyarats / proto
  Proto-RL: Reinforcement Learning with Prototypical Representations
  ☆85Updated 3 years ago
• uber-research / D3G
  Estimating Q(s,s') with Deep Deterministic Dynamics Gradients
  ☆32Updated 5 years ago