Alternatives and similar repositories for how-to-autorl

Users that are interested in how-to-autorl are comparing it to the libraries listed below

• vwxyzjn / cleanba
  CleanRL's implementation of DeepMind's Podracer Sebulba Architecture for Distributed DRL
  ☆117Updated last year
• FLAIROx / jaxirl
  Contains JAX implementation of algorithms for inverse reinforcement learning
  ☆72Updated last year
• google-research / reincarnating_rl
  [NeurIPS 2022] Open source code for reusing prior computational work in RL.
  ☆98Updated 2 years ago
• luchris429 / popjaxrl
  Benchmarking RL for POMDPs in Pure JAX [Code for "Structured State Space Models for In-Context Reinforcement Learning" (NeurIPS 2023)]
  ☆110Updated last year
• xingchenwan / bgpbt
  [AutoML'22] Bayesian Generational Population-based Training (BG-PBT)
  ☆29Updated 3 years ago
• RobertTLange / gymnax-blines
  Baselines for gymnax 🤖
  ☆72Updated 2 years ago
• sdpkjc / abcdrl
  Modular Single-file Reinfocement Learning Algorithms Library
  ☆38Updated 2 years ago
• google-deepmind / csuite
  ☆46Updated last year
• automl / arlbench
  HPO and Architecture Benchmarking for RL: Dynamically, Reactive and Efficient
  ☆26Updated this week
• toshikwa / rljax
  A collection of RL algorithms written in JAX.
  ☆104Updated 3 years ago
• automl / CARL
  Benchmarking RL generalization in an interpretable way.
  ☆168Updated this week
• DramaCow / jaxued
  ☆87Updated 2 months ago
• MarcoMeter / endless-memory-gym
  Challenging Memory-based Deep Reinforcement Learning Agents
  ☆104Updated last year
• ElisevanderPol / symmetrizer
  ☆32Updated 4 years ago
• keraJLi / synthetic-gymnax
  Drop-in environment replacements that make your RL algorithm train faster.
  ☆21Updated last year
• instadeepai / awesome-marl
  A categorised list of Multi-Agent Reinforcemnt Learning (MARL) papers
  ☆56Updated 2 years ago
• instadeepai / fastpbrl
  Vectorization techniques for fast population-based training.
  ☆56Updated 3 years ago
• tinkoff-ai / katakomba
  Data-Driven NetHack Tools: Datasets (30+) and recurrent-baselines (AWAC, BC, CQL, IQL, REM)
  ☆76Updated 2 years ago
• Div-Infinity / XQL
  Extreme Q-Learning: Max Entropy RL without Entropy
  ☆87Updated 2 years ago
• MarcoMeter / neroRL
  Deep Reinforcement Learning Framework done with PyTorch
  ☆39Updated 8 months ago
• vwxyzjn / a2c_is_a_special_case_of_ppo
  A2C is a special case of PPO!
  ☆22Updated 3 years ago
• twitter-research / hyperbolic-rl
  ☆57Updated 3 years ago
• ahmed-touati / controllable_agent
  ☆52Updated 2 years ago
• evgenii-nikishin / rl_with_resets
  JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"
  ☆102Updated 3 years ago
• hr0nix / dejax
  Accelerated replay buffers in JAX
  ☆44Updated 3 years ago
• ml-jku / OfflineRL
  ☆31Updated 2 years ago
• danijar / elements
  Building blocks for productive research
  ☆63Updated 3 months ago
• automl / mdp-playground
  A python package to design and debug RL agents.
  ☆32Updated last month
• luchris429 / discovered-policy-optimisation
  Code for Discovered Policy Optimisation (NeurIPS 2022)
  ☆12Updated 2 years ago
• facebookresearch / dcd
  Implementations of robust Dual Curriculum Design (DCD) algorithms for unsupervised environment design.
  ☆136Updated last year