Alternatives and similar repositories for enn_acme

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

• google-deepmind / nao_top10
  ☆19Updated 2 years ago
• ml-jku / helm
  ☆57Updated last year
• Hwhitetooth / jax_muzero
  An implementation of MuZero in JAX.
  ☆57Updated 3 years ago
• vwxyzjn / cleanba
  CleanRL's implementation of DeepMind's Podracer Sebulba Architecture for Distributed DRL
  ☆118Updated last year
• Kaixhin / GUDRL
  Generalised UDRL
  ☆37Updated 3 years ago
• Miffyli / nle-sample-factory-baseline
  ☆22Updated 8 months ago
• google-deepmind / tell_me_why_explanations_rl
  ☆37Updated 2 years ago
• astanic / crafter-ood
  ☆19Updated 3 years ago
• google-deepmind / csuite
  ☆46Updated last year
• jcoreyes / evolvingrl
  Supplementary Data for Evolving Reinforcement Learning Algorithms
  ☆47Updated 4 years ago
• keraJLi / synthetic-gymnax
  Drop-in environment replacements that make your RL algorithm train faster.
  ☆21Updated last year
• instadeepai / fastpbrl
  Vectorization techniques for fast population-based training.
  ☆56Updated 3 years ago
• microsoft / segar
  Sandbox environment for generalizable agent research
  ☆25Updated 3 years ago
• brentyi / minGPT-flax
  GPT implementation in Flax
  ☆18Updated 3 years ago
• hr0nix / dejax
  Accelerated replay buffers in JAX
  ☆45Updated 3 years ago
• luchris429 / discovered-policy-optimisation
  Code for Discovered Policy Optimisation (NeurIPS 2022)
  ☆12Updated 2 years ago
• danijar / crafter-baselines
  Docker containers of baseline agents for the Crafter environment
  ☆30Updated 3 years ago
• danijar / ninjax
  General Modules for JAX
  ☆71Updated 2 months ago
• twitter-research / hyperbolic-rl
  ☆58Updated 3 years ago
• kenjyoung / mctx_learning_demo
  ☆52Updated 2 years ago
• google-deepmind / zipfian_environments
  ☆28Updated 3 years ago
• FLAIROx / cultural-accumulation
  ☆15Updated last year
• machelreid / can-wikipedia-help-offline-rl
  Official code for "Can Wikipedia Help Offline Reinforcement Learning?" by Machel Reid, Yutaro Yamada and Shixiang Shane Gu
  ☆106Updated 3 years ago
• bmazoure / ppo_jax
  Jax implementation of Proximal Policy Optimization (PPO) specifically tuned for Procgen, with benchmarked results and saved model weights…
  ☆59Updated 3 years ago
• RobertTLange / gymnax-blines
  Baselines for gymnax 🤖
  ☆73Updated 2 years ago
• ucl-dark / pax
  Scalable Opponent Shaping Experiments in JAX
  ☆24Updated last year
• kvfrans / powderworld
  Code for Powderworld: A Platform for Understanding Generalization via Rich Task Distributions
  ☆71Updated last year
• epignatelli / discovering-reinforcement-learning-algorithms
  A Jax/Stax implementation of the general meta learning paper: Oh, J., Hessel, M., Czarnecki, W.M., Xu, Z., van Hasselt, H.P., Singh, S. a…
  ☆23Updated 4 years ago
• andyljones / boardlaw
  Scaling scaling laws with board games.
  ☆54Updated 2 years ago
• louiskirsch / vsml-neurips2021
  Code for "Meta Learning Backpropagation And Improving It" @ NeurIPS 2021 https://arxiv.org/abs/2012.14905
  ☆33Updated 3 years ago