Alternatives and similar repositories for gym-microrts-paper-sb3

Users that are interested in gym-microrts-paper-sb3 are comparing it to the libraries listed below

• attentionagent / attentionagent.github.io
  Web version of “Neuroevolution of Self-Interpretable Agents” (https://arxiv.org/abs/2003.08165)
  ☆21Updated 3 years ago
• Kaixhin / GUDRL
  Generalised UDRL
  ☆37Updated 3 years ago
• joelouismarino / variational_rl
  Variational Reinforcement Learning
  ☆16Updated 10 months ago
• yangkevin2 / neurips2021-lap3
  ☆17Updated 3 years ago
• geyang / plan2vec
  Public Release of Plan2vec Implementation in pyTorch
  ☆56Updated 2 years ago
• Miffyli / policy-supervectors
  Creating fixed-length vectors to describe RL/GA policies
  ☆20Updated 3 years ago
• evgenii-nikishin / omd
  JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"
  ☆43Updated 3 years ago
• supratikp / HOOF
  Implementation of the Fast Efficient Hyperparameter Tuning for Policy Gradient Methods https://arxiv.org/abs/1902.06583
  ☆19Updated 5 years ago
• uber-research / Evolvability-ES
  ☆14Updated 5 years ago
• two2tee / WorldModelPlanning
  ☆16Updated 4 years ago
• eleurent / phd-defense
  ☆43Updated 4 years ago
• google-deepmind / zipfian_environments
  ☆28Updated 2 years ago
• Kajiyu / kanerva_machine
  The implementation of "The Kanerva Machine" with Pytorch and Pyro
  ☆12Updated 6 years ago
• uber-research / D3G
  Estimating Q(s,s') with Deep Deterministic Dynamics Gradients
  ☆32Updated 5 years ago
• joeybose / FloRL
  Implicit Normalizing Flows + Reinforcement Learning
  ☆61Updated 6 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
• flowersteam / Unsupervised_Goal_Space_Learning
  Code to reproduce the results in the "Unsupervised Learning of Goal Spaces for Intrinsically Motivated Exploration"
  ☆21Updated 7 years ago
• david-abel / rl_info_theory
  A collection of code investigating the use of information theory for abstractions in RL
  ☆16Updated 6 years ago
• instadeepai / fastpbrl
  Vectorization techniques for fast population-based training.
  ☆56Updated 2 years ago
• uber-research / Map-Elites-Evolutionary
  Map-Elites based on Evolution Strategies
  ☆31Updated 3 years ago
• jannerm / gamma-models
  Code for the paper "Gamma-Models: Generative Temporal Difference Learning for Infinite-Horizon Prediction"
  ☆44Updated last year
• rddy / isql
  Inferring beliefs about dynamics from behavior
  ☆29Updated 7 years ago
• sebastianrisi / ga-world-models
  ☆20Updated 5 years ago
• edbeeching / 3d_control_deep_rl
  Baselines and memory-based scenarios for the ViZDoom simulator
  ☆34Updated 2 years ago
• dannysdeng / dqn-pytorch
  PyTorch - Implicit Quantile Networks - Quantile Regression - C51
  ☆22Updated 5 years ago
• ctallec / continuous-rl
  ☆21Updated 6 years ago
• R-McHenry / ParallelizedGoExplore
  A first bare bones paralleled implementation of Go Explore as described by the Uber Engineering blog post
  ☆46Updated 6 years ago
• ElisevanderPol / PRAE
  Plannable Approximations to MDP Homomorphisms: Equivariance under Actions
  ☆30Updated 4 years ago
• lili-chen / SEER
  Official codebase for Improving Computational Efficiency in Visual Reinforcement Learning via Stored Embeddings.
  ☆21Updated 4 years ago
• mila-iqia / Conscious-Planning
  Implementation for paper "A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning".
  ☆59Updated 8 months ago