Alternatives and similar repositories for Transformer-RL

Users that are interested in Transformer-RL are comparing it to the libraries listed below

• kevslinger / DTQN
  Deep Transformer Q-Networks for Partially Observable Reinforcement Learning
  ☆165Updated last year
• oxwhirl / smacv2
  ☆267Updated last year
• PKU-MARL / Multi-Agent-Transformer
  ☆432Updated last year
• oxwhirl / wqmix
  Code for Weighted QMIX
  ☆140Updated 4 years ago
• morning9393 / HAPPO-HATRPO
  ☆43Updated 3 years ago
• dhruvramani / Transformers-RL
  An easy PyTorch implementation of "Stabilizing Transformers for Reinforcement Learning"
  ☆180Updated 2 years ago
• sfujim / TD3_BC
  Author's PyTorch implementation of TD3+BC, a simple variant of TD3 for offline RL
  ☆373Updated 3 years ago
• watakandai / hiro_pytorch
  Implementation of HIRO (Data-Efficient Hierarchical Reinforcement Learning)
  ☆112Updated 4 years ago
• polixir / OfflineRL
  A collection of offline reinforcement learning algorithms.
  ☆198Updated 10 months ago
• yihaosun1124 / OfflineRL-Kit
  An elegant PyTorch offline reinforcement learning library for researchers.
  ☆358Updated 2 months ago
• cyanrain7 / TRPO-in-MARL
  ☆216Updated 2 years ago
• zoeyuchao / mappo
  This is the official implementation of Multi-Agent PPO.
  ☆117Updated 2 years ago
• williamyuanv0 / Transformer-in-Reinforcement-Learning-for-Decision-Making-A-Survey
  Transformer in RL for decision-making
  ☆100Updated 2 years ago
• oxwhirl / facmac
  ☆102Updated 3 years ago
• tjuHaoXiaotian / pymarl3
  We extend pymarl2 to pymarl3, equipping the MARL algorithms with permutation invariance and permutation equivariance properties. The enh…
  ☆164Updated last year
• chauncygu / Multi-Agent-Constrained-Policy-Optimisation
  Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).
  ☆190Updated last year
• lich14 / CDS
  [NeurIPS 2021] CDS achieves remarkable success in challenging benchmarks SMAC and GRF by balancing sharing and diversity.
  ☆85Updated 2 years ago
• TonghanWang / RODE
  Codes accompanying the paper "RODE: Learning Roles to Decompose Multi-Agent Tasks (ICLR 2021, https://arxiv.org/abs/2010.01523). RODE is …
  ☆78Updated 9 months ago
• Ericonaldo / ILSwiss
  ILSwiss is an Easy-to-run Imitation Learning (IL, or Learning from Demonstration, LfD) and also Reinforcement Learning (RL) framework (te…
  ☆175Updated 2 years ago
• isp1tze / MAProj
  Multi-agent project (commnet, bicnet, maddpg) in pytorch for Multi-Agent Particle Environment
  ☆116Updated 2 years ago
• uoe-agents / epymarl
  An extension of the PyMARL codebase that includes additional algorithms and environment support
  ☆623Updated last year
• deligentfool / dqn_zoo
  The implement of all kinds of dqn reinforcement learning with Pytorch
  ☆94Updated 4 years ago
• BY571 / CQL
  PyTorch implementation of the Offline Reinforcement Learning algorithm CQL. Includes the versions DQN-CQL and SAC-CQL for discrete and co…
  ☆141Updated last year
• wjh720 / QPLEX
  ☆97Updated 4 years ago
• XinJingHao / PPO-Continuous-Pytorch
  A clean and robust Pytorch implementation of PPO on continuous action space.
  ☆163Updated last year
• uoe-agents / lb-foraging
  Level-Based Foraging (LBF): A multi-agent reinforcement learning environment
  ☆48Updated last year
• jingranburangyongzhongwen / torchMARL
  pytorch实现的一些MARL算法
  ☆68Updated 4 years ago
• gxywy / rl-plotter
  A plotter for reinforcement learning (RL)
  ☆232Updated 3 years ago
• marlbenchmark / off-policy
  PyTorch implementations of popular off-policy multi-agent reinforcement learning algorithms, including QMix, VDN, MADDPG, and MATD3.
  ☆500Updated 2 years ago
• liuzuxin / OSRL
  🤖 Elegant implementations of offline safe RL algorithms in PyTorch
  ☆212Updated last year