Alternatives and similar repositories for azalea:

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

• richemslie / galvanise_zero
  Learning from zero (mostly based off of AlphaZero) in General Game Playing.
  ☆81Updated 2 years ago
• paintception / Deep-Quality-Value-DQV-Learning-
  DQV-Learning: a novel faster synchronous Deep Reinforcement Learning algorithm
  ☆25Updated 2 years ago
• andyljones / boardlaw
  Scaling scaling laws with board games.
  ☆48Updated last year
• yobibyte / atarigrandchallenge
  Code for 'The Grand Atari Challenge dataset' paper
  ☆52Updated 7 years ago
• instadeepai / AlphaNPI
  Adapting the AlphaZero algorithm to remove the need of execution traces to train NPI.
  ☆79Updated last year
• flowersteam / geppg
  ☆35Updated 6 years ago
• ShibiHe / Q-Optimality-Tightening
  This is my implementation of the Optimality Tightening
  ☆37Updated 7 years ago
• wulfebw / muzero
  A python implemenation of tabular MuZero for educational purposes
  ☆21Updated 5 years ago
• mgbellemare / SkipCTS
  Skip Context Tree Switching - Reference Implementation
  ☆49Updated 7 years ago
• danijar / ninjax
  General Modules for JAX
  ☆64Updated 2 weeks ago
• floringogianu / atari-agents
  Code and links for over 25,000 trained Atari agents
  ☆94Updated 6 months ago
• Hwhitetooth / jax_muzero
  An implementation of MuZero in JAX.
  ☆56Updated 2 years ago
• kenjyoung / mctx_learning_demo
  ☆50Updated last year
• DennisSoemers / MaastCTS2
  Source code of the MaastCTS2 agent for General Video Game playing. Champion of the 2016 GVG-AI Single-Player Track, and runner-up of the …
  ☆14Updated 3 years ago
• xingdi-eric-yuan / TextWorld-Coin-Collector
  Coin collector game in Microsoft TextWorld, and a simple RL agent solving it.
  ☆36Updated 3 years ago
• 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…
  ☆21Updated 4 years ago
• florensacc / snn4hrl
  Stochastic Neural Networks for Hierarchical Reinforcement Learning
  ☆95Updated 6 years ago
• bmazoure / ppo_jax
  Jax implementation of Proximal Policy Optimization (PPO) specifically tuned for Procgen, with benchmarked results and saved model weights…
  ☆53Updated 2 years ago
• Joshua-Ren / Neural_Iterated_Learning
  Pytorch implementation of the paper 'Compositional language emerge in a neural iterated learning' (ICLR 2020).
  ☆14Updated 3 years ago
• Feryal / craft-env
  ☆44Updated 6 years ago
• nickleomartin / emergent_comm_rl
  Reproducing the reinforcement learning models used in "Emergence of Linguistic Communication from Referential Games with Symbolic and Pix…
  ☆12Updated 6 years ago
• backpropper / s2p
  Code repository for On the interaction between supervision and self-play in emergent communication (ICLR 2020)
  ☆16Updated 5 years ago
• likeaj6 / alphazero-hex
  AlphaZero implemented for Hex
  ☆23Updated 6 years ago
• Reytuag / transformerXL_PPO_JAX
  ☆73Updated 4 months ago
• faameunier / MCTSnet
  A PyTorch implementation of DeepMind's MCTSnet
  ☆18Updated 2 years ago
• geek-ai / 1m-agents
  A platform of grid world that supports up to 1 million reinforcement-learning agents.
  ☆69Updated 7 years ago
• facebookresearch / impact-driven-exploration
  impact-driven-exploration
  ☆130Updated last year
• aravinho / hexit
  Agent to play the game Hex, based on the Expert Iteration from the paper Thinking Fast and Slow with Deep Learning and Tree Search (NIPS …
  ☆7Updated 6 years ago
• alshedivat / lola
  Code release for Learning with Opponent-Learning Awareness and variations.
  ☆146Updated last year
• nosyndicate / pytorchrl
  Deep Reinforcement Learning algorithms implemented in PyTorch
  ☆49Updated 6 years ago