Alternatives and similar repositories for gbrl_sb3

Users that are interested in gbrl_sb3 are comparing it to the libraries listed below

• ml-jku / LRAM
  A Large Recurrent Action Model: xLSTM enables Fast Inference for Robotics Tasks
  ☆35Updated 10 months ago
• NVlabs / gbrl
  Gradient Boosting Reinforcement Learning (GBRL)
  ☆118Updated last month
• btnorman / First-Explore
  Repo to reproduce the First-Explore paper results
  ☆38Updated 8 months ago
• lucidrains / SAC-pytorch
  Implementation of Soft Actor Critic and some of its improvements in Pytorch
  ☆59Updated 7 months ago
• CEC-Agent / CEC
  Official Implementation of NeurIPS'23 Paper "Cross-Episodic Curriculum for Transformer Agents"
  ☆31Updated last year
• facebookresearch / taskmet
  TaskMet Task-driven Metric Learning for Model Learning
  ☆19Updated last year
• gkswamy98 / fast_irl
  Contains implementation of the FILTER algorithm for exponentially faster inverse reinforcement learning.
  ☆51Updated 2 years ago
• AutonomousAgentsLab / curiousreplay
  Implementations of Curious Replay for model-based adaptation.
  ☆41Updated 2 years ago
• vwxyzjn / a2c_is_a_special_case_of_ppo
  A2C is a special case of PPO!
  ☆22Updated 3 years ago
• jcoreyes / evolvingrl
  Supplementary Data for Evolving Reinforcement Learning Algorithms
  ☆46Updated 4 years ago
• facebookresearch / how-to-autorl
  Plug-and-play hydra sweepers for the EA-based multifidelity method DEHB and several population-based training variations, all proven to e…
  ☆83Updated last year
• DHDev0 / Muzero-unplugged
  Pytorch Implementation of MuZero Unplugged for gym environment. This algorithm is capable of supporting a wide range of action and observ…
  ☆32Updated 2 months ago
• vivekmyers / contrastive_metrics
  Code for the paper "Learning Temporal Distances: Contrastive Successor Features Can Provide a Metric Structure for Decision-Making"
  ☆27Updated last year
• andrew-silva / clean-rl-mlx
  Clean RL implementation using MLX
  ☆32Updated last year
• keraJLi / synthetic-gymnax
  Drop-in environment replacements that make your RL algorithm train faster.
  ☆21Updated last year
• marc-rigter / waker
  Official code for "Reward-Free Curricula for Training Robust World Models", ICLR 2024.
  ☆27Updated last year
• Snagnar / Hieros
  Implemenation of the HIERarchical imagionation On Structured State Space Sequence Models (HIEROS) paper
  ☆18Updated last year
• Farama-Foundation / Jumpy
  On-the-fly conversions between Jax and NumPy tensors
  ☆52Updated 2 years ago
• Rose-STL-Lab / AutoSTPP
  Automatic Integration for Neural Spatio-Temporal Point Process models (AI-STPP) is a new paradigm for exact, efficient, non-parametric inf…
  ☆25Updated 11 months ago
• sai-prasanna / dreaming_of_many_worlds
  ☆23Updated 11 months ago
• facebookresearch / ssorl
  Semi-Supervised Offline Reinforcement Learning with Action-Free Trajectories
  ☆42Updated 2 years ago
• quasimetric-learning / torch-quasimetric
  PyTorch Package For Quasimetric Learning
  ☆42Updated 10 months ago
• Farama-Foundation / CrowdPlay
  A web based platform for collecting human actions in reinforcement learning environments
  ☆31Updated last week
• facebookresearch / mtm
  MTM Masked Trajectory Models for Prediction, Representation, and Control.
  ☆158Updated 2 years ago
• Jordylek / conformal-decision
  Conformal Decision Theory code
  ☆27Updated last year
• google-deepmind / spectral_ssm
  ☆34Updated last year
• facebookresearch / minimax
  Efficient baselines for autocurricula in JAX.
  ☆196Updated last year
• smearle / autoverse
  Generative cellular automaton-like learning environments for RL.
  ☆19Updated 7 months ago
• ivy-llc / gym
  Fully differentiable RL environments, written in Ivy.
  ☆65Updated 2 years ago
• vvvm23 / mamba-jax
  Unofficial but Efficient Implementation of "Mamba: Linear-Time Sequence Modeling with Selective State Spaces" in JAX
  ☆88Updated last year