Alternatives and similar repositories for envlogger

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

• vwxyzjn / cleanba
  CleanRL's implementation of DeepMind's Podracer Sebulba Architecture for Distributed DRL
  ☆112Updated 8 months ago
• RobertTLange / gymnax-blines
  Baselines for gymnax 🤖
  ☆66Updated 2 years ago
• denisyarats / exorl
  ExORL: Exploratory Data for Offline Reinforcement Learning
  ☆113Updated 3 years ago
• dibyaghosh / jaxrl_m
  Skeleton for scalable and flexible Jax RL implementations
  ☆80Updated last year
• jurgisp / memory-maze
  Evaluating long-term memory of reinforcement learning algorithms
  ☆142Updated last year
• MichalBortkiewicz / JaxGCRL
  Goal-Conditioned Reinforcement Learning with JAX
  ☆154Updated this week
• danijar / embodied
  Fast reinforcement learning research
  ☆61Updated 5 months ago
• DramaCow / jaxued
  ☆77Updated last month
• ethanluoyc / corax
  Corax: Core RL in JAX
  ☆38Updated last year
• danijar / director
  Deep Hierarchical Planning from Pixels
  ☆100Updated 2 years ago
• zuoxingdong / dm2gym
  Convert DeepMind Control Suite to OpenAI gym environments.
  ☆86Updated 5 years ago
• google-deepmind / pushworld
  PushWorld: A benchmark for manipulation planning with tools and movable obstacles
  ☆83Updated last year
• automl / CARL
  Benchmarking RL generalization in an interpretable way.
  ☆156Updated 2 months ago
• ikostrikov / jaxrl2
  ☆47Updated 2 years ago
• orybkin / lexa-benchmark
  ☆42Updated 3 years ago
• bmazoure / ppo_jax
  Jax implementation of Proximal Policy Optimization (PPO) specifically tuned for Procgen, with benchmarked results and saved model weights…
  ☆54Updated 2 years ago
• toshikwa / rljax
  A collection of RL algorithms written in JAX.
  ☆97Updated 2 years ago
• mttga / purejaxql
  Simple single-file baselines for Q-Learning in pure-GPU setting
  ☆161Updated last month
• orybkin / lexa
  Discovering and Achieving Goals via World Models, NeurIPS 2021
  ☆85Updated last year
• RajGhugare19 / alm
  Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective
  ☆80Updated 2 years ago
• google-deepmind / csuite
  ☆44Updated 7 months ago
• takuseno / d4rl-pybullet
  Datasets for data-driven deep reinforcement learning with PyBullet environments
  ☆149Updated 4 years ago
• flowersteam / TeachMyAgent
  TeachMyAgent is a testbed platform for Automatic Curriculum Learning methods in Deep RL.
  ☆74Updated last year
• google-deepmind / rgb_stacking
  ☆122Updated 9 months ago
• google-research / rlds-creator
  A web-based tool to collect human data from simulated environments.
  ☆33Updated 3 years ago
• danijar / ninjax
  General Modules for JAX
  ☆64Updated last month
• facebookresearch / dcd
  Implementations of robust Dual Curriculum Design (DCD) algorithms for unsupervised environment design.
  ☆130Updated 8 months ago
• UT-Austin-RPL / amago
  a simple and scalable agent for training adaptive policies with sequence-based RL
  ☆119Updated 2 weeks ago
• rll-research / cic
  CIC: Contrastive Intrinsic Control for Unsupervised Skill Discovery
  ☆81Updated 2 years ago
• AutonomousAgentsLab / cr-dv3
  DreamerV3 implementation of Curious Replay, a method for prioritizing experience replay that is tailored to model-based reinforcement lea…
  ☆36Updated last year