Alternatives and similar repositories for WU-UCT:

Users that are interested in WU-UCT are comparing it to the libraries listed below

• ray-project / rl-experiments
  Keeping track of RL experiments
  ☆162Updated 2 years ago
• YuhangSong / Arena-Baselines
  Arena: A General Evaluation Platform and Building Toolkit for Single/Multi-Agent Intelligence. AAAI 2020.
  ☆103Updated last month
• facebookresearch / CollaQ
  A code implementation for our arXiv paper "Multi-agent Adhoc Team Play using Decompositional Q function"
  ☆131Updated last year
• MadryLab / implementation-matters
  ☆128Updated 8 months ago
• ying-wen / malib_deprecated
  A Multi-agent Learning Framework
  ☆62Updated 3 years ago
• alexis-jacq / LOLA_DiCE
  Pytorch implementation of LOLA (https://arxiv.org/abs/1709.04326) using DiCE (https://arxiv.org/abs/1802.05098)
  ☆94Updated 6 years ago
• tencent-ailab / tleague_projpage
  ☆143Updated 4 months ago
• vwxyzjn / cleanba
  CleanRL's implementation of DeepMind's Podracer Sebulba Architecture for Distributed DRL
  ☆110Updated 7 months ago
• ben-eysenbach / sac
  Soft Actor-Critic
  ☆144Updated 7 years ago
• Xingyu-Lin / mbpo_pytorch
  A pytorch reprelication of the model-based reinforcement learning algorithm MBPO
  ☆167Updated 3 years ago
• lns / dapo
  Source code for the paper "Divergence-Augmented Policy Optimization"
  ☆37Updated 5 years ago
• cyoon1729 / distributedRL
  A framework for easy prototyping of distributed reinforcement learning algorithms
  ☆95Updated 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 …
  ☆83Updated 3 years ago
• JBLanier / pipeline-psro
  Official Code Release for Pipeline PSRO: A Scalable Approach for Finding Approximate Nash Equilibria in Large Games
  ☆50Updated 7 months ago
• neka-nat / distributed_rl
  Pytorch implementation of distributed deep reinforcement learning
  ☆76Updated 2 years ago
• wendelinboehmer / dcg
  ☆74Updated 10 months ago
• quantumiracle / MARS
  MARS is shortened for Multi-Agent Research Studio, a library for mulit-agent reinforcement learning research.
  ☆46Updated last year
• staghuntrpg / RPG
  This is the source code of RPG (Reward-Randomized Policy Gradient)
  ☆43Updated 2 years ago
• qlan3 / Explorer
  Explorer is a PyTorch reinforcement learning framework for exploring new ideas.
  ☆92Updated 3 weeks ago
• lcswillems / torch-ac
  Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO
  ☆198Updated 2 years ago
• jparkerholder / DvD_ES
  Code from the paper "Effective Diversity in Population Based Reinforcement Learning", presented as a spotlight at NeurIPS 2020. This is t…
  ☆44Updated 4 years ago
• apourchot / CEM-RL
  Combining Evolutionary Algorithms and deep RL in various ways
  ☆102Updated 4 years ago
• Farama-Foundation / D4RL-Evaluations
  ☆194Updated 2 years ago
• tencent-ailab / TLeague
  ☆4Updated 4 months ago
• YiqinYang / ICQ
  Codes accompanying the paper "Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning" (NeurIPS…
  ☆73Updated 2 years ago
• ewanlee / ICLR2019-RL-Papers
  The Reinforcement-Learning-Related Papers of ICLR 2019
  ☆47Updated 5 years ago
• microsoft / oac-explore
  Code accompanying the paper "Better Exploration with Optimistic Actor Critic" (NeurIPS 2019)
  ☆70Updated last year
• tianheyu927 / mopo
  Code for MOPO: Model-based Offline Policy Optimization
  ☆177Updated 2 years ago
• createamind / DRL
  ☆92Updated 4 years ago
• younggyoseo / RE3
  RE3: State Entropy Maximization with Random Encoders for Efficient Exploration
  ☆68Updated 3 years ago