Alternatives and similar repositories for deir

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

• adityabingi / Dreamer
  Reproduction of Dreamerv1 and v2 in pytorch for deepmind control suite
  ☆43Updated 2 years ago
• yusukeurakami / plan2explore-pytorch
  ☆43Updated 4 years ago
• qgallouedec / lge
  ☆31Updated last year
• RajGhugare19 / alm
  Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective
  ☆81Updated 2 years ago
• yobibyte / amorpheus
  My Body Is A Cage
  ☆41Updated 4 years ago
• rll-research / cic
  CIC: Contrastive Intrinsic Control for Unsupervised Skill Discovery
  ☆81Updated 3 years ago
• ahmed-touati / controllable_agent
  ☆48Updated 2 years ago
• ZhengyaoJiang / latentplan
  Code release for Efficient Planning in a Compact Latent Action Space (ICLR2023) https://arxiv.org/abs/2208.10291.
  ☆109Updated 2 years ago
• seohongpark / HILP
  Foundation Policies with Hilbert Representations (ICML 2024)
  ☆94Updated last year
• facebookresearch / denoised_mdp
  Open source code for paper "Denoised MDPs: Learning World Models Better Than the World Itself"
  ☆135Updated 2 years ago
• seohongpark / METRA
  METRA: Scalable Unsupervised RL with Metric-Aware Abstraction (ICLR 2024)
  ☆73Updated last year
• albertwilcox / mcac
  Author implementation of Monte Carlo Augmented Actor Critic in PyTorch
  ☆17Updated 2 years ago
• scottemmons / rvs
  Reinforcement Learning via Supervised Learning
  ☆71Updated 3 years ago
• daisatojp / mpo
  PyTorch Implementation of the Maximum a Posteriori Policy Optimisation
  ☆76Updated 2 years ago
• yusukeurakami / dreamer-pytorch
  pytorch-implementation of Dreamer (Model-based Image RL Algorithm)
  ☆166Updated 8 months ago
• vwxyzjn / cleanba
  CleanRL's implementation of DeepMind's Podracer Sebulba Architecture for Distributed DRL
  ☆114Updated last year
• mklissa / dceo
  Learning diverse options through the Laplacian representation.
  ☆23Updated last year
• kvfrans / fre
  Code for "Unsupervised Zero-Shot RL via Functional Reward Representations"
  ☆58Updated last year
• Div99 / XQL
  Extreme Q-Learning: Max Entropy RL without Entropy
  ☆87Updated 2 years ago
• zchuning / latco
  Model-Based Reinforcement Learning via Latent-Space Collocation.
  ☆33Updated 2 years ago
• martius-lab / pink-noise-rl
  ☆44Updated 2 years ago
• facebookresearch / dcd
  Implementations of robust Dual Curriculum Design (DCD) algorithms for unsupervised environment design.
  ☆133Updated last year
• denisyarats / exorl
  ExORL: Exploratory Data for Offline Reinforcement Learning
  ☆115Updated 3 years ago
• ElisevanderPol / symmetrizer
  ☆31Updated 4 years ago
• MarcoMeter / endless-memory-gym
  Challenging Memory-based Deep Reinforcement Learning Agents
  ☆103Updated 11 months ago
• tianjunz / NovelD
  ☆40Updated 3 years ago
• facebookresearch / controllable_agent
  The Controllable Agent project trains RL Agents able to optimize any reward function specified in real time, without any further learning…
  ☆68Updated 2 years ago
• jurgisp / memory-maze
  Evaluating long-term memory of reinforcement learning algorithms
  ☆148Updated 2 years ago
• penn-pal-lab / peg
  Code for "Planning Goals for Exploration", ICLR2023 Spotlight. An unsupervised RL agent for hard exploration tasks.
  ☆78Updated last year
• bmazoure / ppo_jax
  Jax implementation of Proximal Policy Optimization (PPO) specifically tuned for Procgen, with benchmarked results and saved model weights…
  ☆58Updated 3 years ago