Alternatives and similar repositories for hyperx:

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

• keynans / HypeRL
  Authors' PyTorch implementation of 'Recomposing the Reinforcement Learning Building-Blocks with Hypernetworks' (HypeRL)
  ☆25Updated 3 years ago
• philipjball / ReadyPolicyOne
  🔍 Codebase for the ICML '20 paper "Ready Policy One: World Building Through Active Learning" (arxiv: 2002.02693)
  ☆18Updated last year
• jdchang1 / milo
  ☆16Updated 3 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…
  ☆53Updated 4 years ago
• tedmoskovitz / TOP
  Implementation of Tactical Optimistic and Pessimistic value estimation
  ☆25Updated last year
• frt03 / mxt_bench
  A System for Morphology-Task Generalization via Unified Representation and Behavior Distillation (ICLR2023)
  ☆13Updated 2 years ago
• dido1998 / CausalMBRL
  Official data and code for our paper Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning
  ☆48Updated 3 years ago
• amazon-science / replay-based-recurrent-rl
  Code for "Task-Agnostic Continual RL: In Praise of a Simple Baseline"
  ☆33Updated last year
• ben-eysenbach / info_geometry
  Code to accompany the paper "The Information Geometry of Unsupervised Reinforcement Learning"
  ☆20Updated 3 years ago
• yudasong / HyQ
  Official code repo for paper: Hybrid RL: Using both offline and online data can make RL efficient.
  ☆24Updated 2 years ago
• tgangwani / BMIL
  Pytorch code for "Learning Belief Representations for Imitation Learning in POMDPs" (UAI 2019)
  ☆18Updated 2 years ago
• Ji4chenLi / Multi-Task-Batch-RL
  ☆26Updated 2 years ago
• jsikyoon / bmaml_rl
  This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.
  ☆20Updated 2 years ago
• facebookresearch / gen_dgrl
  Official codebase for "The Generalization Gap in Offline Reinforcement Learning" accepted to ICLR 2024
  ☆28Updated 7 months ago
• sfujim / SR-DICE
  Author's PyTorch implementation of SR-DICE for marginalized importance sampling
  ☆16Updated 3 years ago
• Cranial-XIX / metric-residual-network
  Official PyTorch Implementation for Metric Residual Networks for Sample Efficient Goal-Conditioned Reinforcement Learning
  ☆15Updated 2 years ago
• zchuning / latco
  Model-Based Reinforcement Learning via Latent-Space Collocation.
  ☆32Updated 2 years ago
• alec-tschantz / planet
  PlaNet: Learning Latent Dynamics for Planning from Pixels
  ☆10Updated 5 years ago
• JesseFarebro / distributional-sr
  Official implementation of the δ-model presented in the ICML 2024 paper "A Distributional Analogue to the Successor Representation".
  ☆20Updated 4 months ago
• ElisevanderPol / symmetrizer
  ☆30Updated 4 years ago
• TTomilin / COOM
  COOM: Benchmarking Continual Reinforcement Learning on Doom
  ☆16Updated last month
• kyonofx / tia
  [ICML 2021] Learning Task Informed Abstractions -- a representation learning approach for model-based RL in complex visual domains
  ☆19Updated 3 years ago
• microsoft / segar
  Sandbox environment for generalizable agent research
  ☆24Updated 2 years ago
• astanic / crafter-ood
  ☆20Updated 2 years ago
• QData / dmc_remastered
  A version of the DeepMind Control Suite with randomly generated graphics, for measuring visual generalization in continuous control.
  ☆18Updated 4 years ago
• Improbable-AI / harness-offline-rl
  Official implementation of Harnessing Mixed Offline Reinforcement Learning Datasets via Trajectory Reweighting
  ☆16Updated last year
• danijar / crafter-baselines
  Docker containers of baseline agents for the Crafter environment
  ☆28Updated 3 years ago
• FLAIROx / popjym
  POPGym Library in JAX
  ☆11Updated 11 months ago
• facebookresearch / level-replay
  This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …
  ☆83Updated 3 years ago
• metekemertas / RobustBisimulation
  Learning bisimulation metrics for control, particularly suited to sparse reward settings
  ☆10Updated 2 years ago