Alternatives and similar repositories for bsac

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

• Felhof / DiscreteSAC
  ☆40Updated 3 years ago
• XinJingHao / SAC-Discrete-Pytorch
  A clean and robust Pytorch implementation of SAC on discrete action space
  ☆39Updated 7 months ago
• murtazarang / MD-MADDPG
  ☆15Updated 5 years ago
• RobvanGastel / rnn-sac
  Implementation of the Discrete Soft Actor-Critic algorithm with RNN policy in PyTorch
  ☆27Updated 2 years ago
• LxzGordon / Deep-Reinforcement-Learning-with-pytorch
  Basic reinforcement learning algorithms. Including:DQN,Double DQN, Dueling DQN, SARSA, REINFORCE, baseline-REINFORCE, Actor-Critic,DDPG,D…
  ☆92Updated 4 years ago
• verystrongjoe / qmix
  qmix
  ☆22Updated 5 years ago
• Metro1998 / P-DQN
  Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space
  ☆48Updated 3 years ago
• TJU-DRL-LAB / transfer-and-multi-task-reinforcement-learning
  ☆22Updated last year
• finninmunich / Maml-Reptile-RL
  Study of paper "Meta reinforcement learning for sim-to-real domain adaptation"
  ☆18Updated 3 years ago
• ffelten / MASAC
  Jax and Torch Multi-Agent SAC on PettingZoo API
  ☆82Updated 6 months ago
• alirezakazemipour / Discrete-SAC-PyTorch
  PyTorch implementation of discrete version of Soft Actor-Critic.
  ☆34Updated 3 years ago
• hex-plex / GNN-MARL
  Communication using GNN in MARL
  ☆20Updated 3 years ago
• Amanda2024 / GCS_aamas337
  The code for AAMAS2022 《GCS: Graph-based Coordination Strategy for Multi-Agent Reinforcement Learning》
  ☆41Updated 3 years ago
• Jonathan-Pearce / DDPG_PER
  Implementation of Deep Deterministic Policy Gradient (DDPG) with Prioritized Experience Replay (PER)
  ☆51Updated 3 months ago
• TroddenSpade / Meta-Reinforcement-Learning
  Code snippets of Meta Reinforcement Learning algorithms
  ☆37Updated last year
• maohangyu / marl_demo
  demo of multi-agent reinforcement learning algorithms, such as ATT-MADDPG (Modelling the Dynamic Joint Policy of Teammates with Attention…
  ☆57Updated 3 years ago
• lucifer2859 / meta-RL
  ☆27Updated 4 years ago
• ling-pan / SD3
  ☆61Updated 4 years ago
• JohannesAck / MATD3implementation
  Code for the RL method MATD3 described in the paper "Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics…
  ☆86Updated 4 years ago
• BY571 / SAC_discrete
  PyTorch implementation of the discrete Soft-Actor-Critic algorithm.
  ☆52Updated 3 years ago
• sanmuyang / multi-agent-PPO-on-SMAC
  Implementations of MAPPO and IPPO on SMAC, the multi-agent StarCraft environment.
  ☆70Updated 3 years ago
• MoMe36 / BranchingDQN
  BranchingDQN
  ☆50Updated 6 years ago
• rhoowd / sched_net
  ☆85Updated 3 years ago
• coldsummerday / SD-SAC
  Revisiting Discrete Soft Actor-Critic Accepted by Transactions on Machine Learning Research (TMLR)
  ☆20Updated 6 months ago
• rosewang2008 / rmaddpg
  ICML 2019 RL for Real Life Workshop: Recurrent MADDPG for Partially Observable and Limited Communication Settings
  ☆48Updated 5 years ago
• MDrW / ICML2022-IRAT
  ☆39Updated 2 years ago
• matteokarldonati / Counterfactual-Multi-Agent-Policy-Gradients
  PyTorch implementation of Foerster, Jakob N., et al. "Counterfactual multi-agent policy gradients."
  ☆58Updated 5 years ago
• XinJingHao / SAC-Continuous-Pytorch
  a clean and robust Pytorch implementation of SAC on continuous action space
  ☆77Updated last month
• JohannesAck / tf2multiagentrl
  Clean implementation of Multi-Agent Reinforcement Learning methods (MADDPG, MATD3, MASAC, MAD4PG) in TensorFlow 2.x
  ☆154Updated last year
• hahayonghuming / VDACs
  Value-Decomposition Multi-Agent Actor-Critics
  ☆40Updated 2 years ago