ElisevanderPol / mdp-homomorphic-networks

Related projects ⓘ

Alternatives and complementary repositories for mdp-homomorphic-networks

• ElisevanderPol / symmetrizer
  ☆28Updated 3 years ago
• nnaisense / MAGE
  Learning Action-Value Gradients in Model-based Policy Optimization
  ☆31Updated 3 years ago
• sahandrez / homomorphic_policy_gradient
  Author's PyTorch Implementation of Deep Homomorphic Policy Gradient (DHPG) - NeurIPS 2022 and JMLR 2024
  ☆22Updated 7 months ago
• orybkin / video-gcp
  Repository for the paper "Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors"
  ☆44Updated last year
• zchuning / latco
  Model-Based Reinforcement Learning via Latent-Space Collocation.
  ☆31Updated last year
• montrealrobotics / iv_rl
  IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation
  ☆35Updated last week
• sparisi / cbet
  Change-Based Exploration Transfer
  ☆36Updated 2 years ago
• 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…
  ☆50Updated 3 years ago
• sebascuri / hucrl
  ☆30Updated 11 months ago
• philipjball / ReadyPolicyOne
  🔍 Codebase for the ICML '20 paper "Ready Policy One: World Building Through Active Learning" (arxiv: 2002.02693)
  ☆18Updated last year
• hari-sikchi / LOOP
  Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]
  ☆34Updated 2 years ago
• architsharma97 / earl_benchmark
  EARL: Environment for Autonomous Reinforcement Learning
  ☆35Updated last year
• pairlab / vagram
  [ICLR 22] Value Gradient weighted Model-Based Reinforcement Learning.
  ☆24Updated last year
• ben-eysenbach / info_geometry
  Code to accompany the paper "The Information Geometry of Unsupervised Reinforcement Learning"
  ☆21Updated 3 years ago
• robbycostales / HAL
  Code for "Possibility Before Utility: Learning And Using Hierarchical Affordances" ICLR 2022
  ☆13Updated 2 years ago
• flowersteam / curious
  Implementation of CURIOUS: Intrinsically Motivated Modular Multi-Goal Reinforcement Learning
  ☆27Updated 4 years ago
• jaztsong / PILCO-gpytorch
  ☆33Updated 4 years ago
• yobibyte / amorpheus
  My Body Is A Cage
  ☆38Updated 3 years ago
• Stanford-ILIAD / ELLA
  Reward shaping approach for instruction following settings, leveraging language at multiple levels of abstraction.
  ☆19Updated 3 years ago
• facebookresearch / hsd3
  Code for "Hierarchical Skills for Efficient Exploration" HSD-3 Algorithm and Baselines
  ☆49Updated 2 years ago
• facebookresearch / entity-factored-rl
  Source code for the paper "Policy Architectures for Compositional Generalization in Control"
  ☆29Updated 2 years ago
• ruizhaogit / mep
  Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)
  ☆23Updated 5 years ago
• ikostrikov / dmcgym
  ☆23Updated 2 years ago
• clvrai / create
  CREATE Environment for long-horizon physics-puzzle tasks with diverse tools
  ☆17Updated last year
• tgangwani / BMIL
  Pytorch code for "Learning Belief Representations for Imitation Learning in POMDPs" (UAI 2019)
  ☆18Updated 2 years ago
• deep-skill-chaining / deep-skill-chaining
  Implementation of the skill discovery algorithm described in ICLR submission "Option Discovery using Deep Skill Chaining"
  ☆28Updated 5 years ago
• young-geng / SimpleSAC
  A simple and easy to use implementation of the soft actor-critic algorithm.
  ☆15Updated 2 years ago
• uber-research / D3G
  Estimating Q(s,s') with Deep Deterministic Dynamics Gradients
  ☆31Updated 4 years ago
• rmrafailov / LOMPO
  Official Codebase for Offline Reinforcement Learning from Images with Latent Space Models
  ☆28Updated 3 years ago
• tseyde / decqn
  ☆34Updated last year