Alternatives and similar repositories for Pearl:

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

• proroklab / popgym
  Partially Observable Process Gym
  ☆178Updated 7 months 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 2 years ago
• automl / CARL
  Benchmarking RL generalization in an interpretable way.
  ☆142Updated last week
• MarcoMeter / neroRL
  Deep Reinforcement Learning Framework done with PyTorch
  ☆32Updated this week
• instadeepai / marl-eval
  A tool for aggregating and plotting MARL experiment data.
  ☆71Updated last month
• RobertTLange / gymnax-blines
  Baselines for gymnax 🤖
  ☆63Updated last year
• instadeepai / awesome-marl
  A categorised list of Multi-Agent Reinforcemnt Learning (MARL) papers
  ☆48Updated 2 years ago
• instadeepai / og-marl
  Datasets with baselines for offline multi-agent reinforcement learning.
  ☆160Updated 2 weeks ago
• Farama-Foundation / Shimmy
  An API conversion tool for popular external reinforcement learning environments
  ☆151Updated last month
• denisyarats / exorl
  ExORL: Exploratory Data for Offline Reinforcement Learning
  ☆108Updated 3 years ago
• MarcoMeter / endless-memory-gym
  Challenging Memory-based Deep Reinforcement Learning Agents
  ☆93Updated 3 months ago
• toshikwa / rljax
  A collection of RL algorithms written in JAX.
  ☆95Updated 2 years ago
• vwxyzjn / cleanba
  CleanRL's implementation of DeepMind's Podracer Sebulba Architecture for Distributed DRL
  ☆109Updated 5 months ago
• ollebompa / PGA-MAP-Elites
  Repository for the PGA-MAP-Elites algorithm. PGA-MAP-Elites was developed to efficiently scale MAP-Elites to large genotypes and noisy d…
  ☆36Updated 3 years ago
• adityabingi / Dreamer
  Reproduction of Dreamerv1 and v2 in pytorch for deepmind control suite
  ☆35Updated 2 years ago
• Farama-Foundation / momaland
  Benchmarks for Multi-Objective Multi-Agent Decision Making
  ☆80Updated last week
• siekmanj / r2l
  Recurrent continuous reinforcement learning algorithms implemented in Pytorch.
  ☆50Updated 3 years ago
• mttga / purejaxql
  Simple single-file baselines for Q-Learning in pure-GPU setting
  ☆137Updated 2 months ago
• flowersteam / TeachMyAgent
  TeachMyAgent is a testbed platform for Automatic Curriculum Learning methods in Deep RL.
  ☆68Updated last year
• Howuhh / sac-n-jax
  Single-file SAC-N implementation on jax with flax and equinox. 10x faster than pytorch
  ☆48Updated last year
• MarcoMeter / recurrent-ppo-truncated-bptt
  Baseline implementation of recurrent PPO using truncated BPTT
  ☆134Updated 9 months 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…
  ☆74Updated last year
• ahmed-touati / controllable_agent
  ☆42Updated last year
• martius-lab / pink-noise-rl
  ☆41Updated last year
• alirezakazemipour / Continuous-PPO
  Proximal Policy Optimization (Continuous Version) in PyTorch.
  ☆27Updated 3 years ago
• google-research / reincarnating_rl
  [NeurIPS 2022] Open source code for reusing prior computational work in RL.
  ☆93Updated last year
• nissymori / JAX-CORL
  Clean single-file implementation of offline RL algorithms in JAX
  ☆132Updated last month
• j3soon / dfac
  [ICML 2021] DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning
  ☆31Updated last year
• jurgisp / memory-maze
  Evaluating long-term memory of reinforcement learning algorithms
  ☆140Updated last year
• michaelnny / deep_rl_zoo
  A collection of Deep Reinforcement Learning algorithms implemented with PyTorch to solve Atari games and classic control tasks like CartP…
  ☆106Updated last year