Alternatives and similar repositories for Parallel-MCTS

Users that are interested in Parallel-MCTS are comparing it to the libraries listed below

• liuanji / WU-UCT
  A novel parallel UCT algorithm with linear speedup and negligible performance loss.
  ☆119Updated 4 years ago
• rlglab / minizero
  MiniZero: An AlphaZero and MuZero Training Framework
  ☆93Updated 3 months ago
• quantumiracle / MARS
  MARS is shortened for Multi-Agent Research Studio, a library for mulit-agent reinforcement learning research.
  ☆49Updated last year
• danielwillemsen / MAMBPO
  DecentralizedLearning
  ☆24Updated 2 years ago
• mit-gfx / PGMORL
  [ICML 2020] Prediction-Guided Multi-Objective Reinforcement Learning for Continuous Robot Control
  ☆113Updated 4 years ago
• yycdavid / program-synthesis-guided-RL
  ☆24Updated 2 years ago
• rmst / rlrd
  PyTorch implementation of our paper Reinforcement Learning with Random Delays (ICLR 2020)
  ☆41Updated 3 years ago
• proroklab / graph-conv-memory
  Graph convolutional memory
  ☆16Updated 3 years ago
• wisnunugroho21 / asynchronous_impala_PPO
  Multi-Agent Deep Reinforcement Learning by using Asynchronous & Impala Proximal Policy Optimization in Pytorch with some explanation
  ☆36Updated 4 years ago
• RodrigoToroIcarte / reward_machines
  ☆69Updated last year
• Div99 / XQL
  Extreme Q-Learning: Max Entropy RL without Entropy
  ☆88Updated 2 years ago
• ingambe / RayEnvWrapper
  OpenAi's gym environment wrapper to vectorize them with Ray
  ☆22Updated 2 years ago
• daisatojp / mpo
  PyTorch Implementation of the Maximum a Posteriori Policy Optimisation
  ☆76Updated 2 years ago
• twni2016 / Memory-RL
  When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment, NeurIPS 2023 (oral)
  ☆62Updated last year
• sfujim / LAP-PAL
  Author's PyTorch implementation of LAP and PAL with TD3 and DDQN
  ☆34Updated 3 years ago
• baskuit / R-NaD
  Experimentation with Regularized Nash Dynamics on a GPU accelerated game
  ☆47Updated 2 years ago
• remosasso / PSDRL
  Code for Posterior Sampling for Deep Reinforcement Learning, ICML 2023
  ☆27Updated last year
• mavischer / DRRL
  A2C training of Relational Deep Reinforcement Learning Architecture
  ☆13Updated 2 years ago
• JBLanier / pipeline-psro
  Official Code Release for Pipeline PSRO: A Scalable Approach for Finding Approximate Nash Equilibria in Large Games
  ☆51Updated 9 months ago
• guptav96 / BDQN-PyTorch
  Efficient Exploration through Bayesian Deep-Q Networks.
  ☆18Updated 3 years ago
• alirezakazemipour / PPO-RND
  Random network distillation on Montezuma's Revenge and Super Mario Bros.
  ☆49Updated 3 weeks ago
• BY571 / Munchausen-RL
  PyTorch implementation of the Munchausen Reinforcement Learning Algorithms M-DQN and M-IQN
  ☆46Updated 4 years ago
• instadeepai / awesome-marl
  A categorised list of Multi-Agent Reinforcemnt Learning (MARL) papers
  ☆52Updated 2 years ago
• neka-nat / distributed_rl
  Pytorch implementation of distributed deep reinforcement learning
  ☆76Updated 2 years ago
• tinker495 / jax-baseline
  Jax-Baseline is a Reinforcement Learning implementation using JAX and Flax/Haiku libraries, mirroring the functionality of Stable-Baselin…
  ☆53Updated 3 weeks ago
• qgallouedec / deep_rl
  Single-file truly minimal implementation of state-of-the-art reinforcement learning algorithms.
  ☆21Updated 2 years ago
• YYCAAA / V-MPO_Lunarlander
  Simple implementation of V-MPO proposed in https://arxiv.org/abs/1909.12238
  ☆47Updated 4 years ago
• koulanurag / minimal-marl
  Minimal implementation of multi-agent reinforcement learning algorithms
  ☆55Updated 3 years ago
• avillaflor / SPLT-transformer
  ☆18Updated 2 years ago
• indylab / nxdo
  Deep RL Code for XDO: A Double Oracle Algorithm for Extensive-Form Games
  ☆39Updated 3 years ago