Alternatives and similar repositories for gym-kuhn-poker

Users that are interested in gym-kuhn-poker are comparing it to the libraries listed below

• Hwhitetooth / jax_muzero
  An implementation of MuZero in JAX.
  ☆56Updated 2 years ago
• instadeepai / fastpbrl
  Vectorization techniques for fast population-based training.
  ☆56Updated 2 years ago
• nnaisense / MAGE
  Learning Action-Value Gradients in Model-based Policy Optimization
  ☆31Updated 3 years ago
• Egiob / cfrx
  cfrx is a collection of algorithms and tools for hardware-accelerated Counterfactual Regret Minimization (CFR) algorithms in Jax.
  ☆31Updated 10 months ago
• aletcher / stable-opponent-shaping
  Pytorch implementation of Stable Opponent Shaping (https://openreview.net/pdf?id=SyGjjsC5tQ).
  ☆21Updated 5 years ago
• vwxyzjn / gym-microrts-paper
  The source code for the gym-microrts paper.
  ☆42Updated 2 years ago
• kenjyoung / mctx_learning_demo
  ☆51Updated 2 years ago
• facebookresearch / svg
  On the model-based stochastic value gradient for continuous reinforcement learning
  ☆55Updated last year
• indylab / nxdo
  Deep RL Code for XDO: A Double Oracle Algorithm for Extensive-Form Games
  ☆39Updated 3 years ago
• lanyavik / BAIL
  ☆17Updated 2 years ago
• hr0nix / dejax
  Accelerated replay buffers in JAX
  ☆41Updated 2 years ago
• uber-research / D3G
  Estimating Q(s,s') with Deep Deterministic Dynamics Gradients
  ☆32Updated 5 years ago
• ssokota / mmd
  Code for magnetic mirror descent.
  ☆16Updated last year
• JBLanier / stratego_env
  Multi-Agent RL Environment for the Stratego Board Game (and variants)
  ☆34Updated last year
• manantomar / Mirror-Descent-Policy-Optimization
  Mirror Descent Policy Optimization
  ☆38Updated 4 years ago
• facebookresearch / level-replay
  This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …
  ☆86Updated 3 years ago
• tesslerc / TD3-JAX
  A JAX Implementation of the Twin Delayed DDPG Algorithm
  ☆34Updated 5 years ago
• indylab / tabular_xdo
  ☆9Updated 3 years ago
• Stanford-ILIAD / Conventions-ModularPolicy
  PyTorch implementation for "On the Critical Role of Conventions in Adaptive Human-AI Collaboration", ICLR 2021
  ☆16Updated 4 years ago
• RobertTLange / gymnax-blines
  Baselines for gymnax 🤖
  ☆66Updated 2 years ago
• instadeepai / sebulba
  🪐 The Sebulba architecture to scale reinforcement learning on Cloud TPUs in JAX
  ☆57Updated last year
• luchris429 / model-free-opponent-shaping
  Code for Model-Free Opponent Shaping (ICML 2022)
  ☆18Updated 2 years ago
• tianjunz / NovelD
  ☆41Updated 3 years ago
• bmazoure / ppo_jax
  Jax implementation of Proximal Policy Optimization (PPO) specifically tuned for Procgen, with benchmarked results and saved model weights…
  ☆56Updated 2 years ago
• tedmoskovitz / TOP
  Implementation of Tactical Optimistic and Pessimistic value estimation
  ☆26Updated 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…
  ☆21Updated 4 years ago
• danijar / ninjax
  General Modules for JAX
  ☆66Updated 2 months ago
• timoklein / alphazero-gym
  AlphaZero for continuous control tasks
  ☆23Updated 2 years ago
• EricSteinberger / Neural-Fictitous-Self-Play
  Scalable Implementation of Neural Fictitous Self-Play
  ☆80Updated 6 years ago
• robintyh1 / icml2021-pengqlambda
  Revisiting Peng's Q(lambda) for Modern Reinforcement Learning
  ☆16Updated 3 years ago