Alternatives and similar repositories for bsac:

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

• XinJingHao / SAC-Discrete-Pytorch
  A clean and robust Pytorch implementation of SAC on discrete action space
  ☆34Updated 3 months ago
• Felhof / DiscreteSAC
  ☆40Updated 3 years ago
• Metro1998 / P-DQN
  Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space
  ☆41Updated 2 years ago
• oxwhirl / facmac
  ☆94Updated 3 years ago
• LeoZhengZLY / stackelberg-actor-critic-algos
  ☆40Updated 3 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…
  ☆79Updated 4 years ago
• chengliu-LR / hybrid-action-RL
  Hybrid action space reinforcement learning algorithms.
  ☆12Updated 3 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 3 years ago
• hex-plex / GNN-MARL
  Communication using GNN in MARL
  ☆18Updated 3 years ago
• maohangyu / marl_demo
  demo of multi-agent reinforcement learning algorithms, such as ATT-MADDPG (Modelling the Dynamic Joint Policy of Teammates with Attention…
  ☆53Updated 3 years ago
• alirezakazemipour / Discrete-SAC-PyTorch
  PyTorch implementation of discrete version of Soft Actor-Critic.
  ☆31Updated 3 years ago
• puyuan1996 / MARL
  Implementation for mSAC methods in PyTorch
  ☆40Updated 3 years ago
• ffelten / MASAC
  Jax and Torch Multi-Agent SAC on PettingZoo API
  ☆69Updated 2 months ago
• MoMe36 / BranchingDQN
  BranchingDQN
  ☆49Updated 6 years ago
• tocom242242 / qmix_tf2
  QMIX implemented in TensorFlow 2
  ☆17Updated 3 years ago
• Jonathan-Pearce / DDPG_PER
  Implementation of Deep Deterministic Policy Gradient (DDPG) with Prioritized Experience Replay (PER)
  ☆49Updated 4 years ago
• coldsummerday / SD-SAC
  Revisiting Discrete Soft Actor-Critic Accepted by Transactions on Machine Learning Research (TMLR)
  ☆19Updated 2 months ago
• RobvanGastel / rnn-sac
  Implementation of the Discrete Soft Actor-Critic algorithm with RNN policy in PyTorch
  ☆23Updated 2 years ago
• JohannesAck / tf2multiagentrl
  Clean implementation of Multi-Agent Reinforcement Learning methods (MADDPG, MATD3, MASAC, MAD4PG) in TensorFlow 2.x
  ☆140Updated last year
• MDrW / ICML2022-IRAT
  ☆38Updated 2 years ago
• X-I-N / my_PDQN
  my code for paper Parameterized-DQN
  ☆21Updated 3 years ago
• jianzhnie / deep-marl-toolkit
  MARLToolkit: The Multi-Agent Rainforcement Learning Toolkit. Include implementation of MAPPO, MADDPG, QMIX, VDN, COMA, IPPO, QTRAN, MAT..…
  ☆118Updated 10 months ago
• TJU-DRL-LAB / transfer-and-multi-task-reinforcement-learning
  ☆20Updated last year
• mttga / pymarl_transformers
  Official repository of the paper TransfQMix: Transformers for Leveraging the Graph Structure of Multi-Agent Reinforcement Learning Proble…
  ☆46Updated 10 months ago
• ling-pan / SD3
  ☆58Updated 4 years ago
• Amanda2024 / GCS_aamas337
  The code for AAMAS2022 《GCS: Graph-based Coordination Strategy for Multi-Agent Reinforcement Learning》
  ☆40Updated 3 years ago
• 011235813 / hierarchical-marl
  Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery
  ☆99Updated 2 years ago
• verystrongjoe / qmix
  qmix
  ☆22Updated 4 years ago
• tbasaklar / PDMORL-Preference-Driven-Multi-Objective-Reinforcement-Learning-Algorithm
  A novel preference-driven multi-objective reinforcement learning algorithm using a single policy network that covers the entire preferenc…
  ☆26Updated last year
• oxwhirl / wqmix
  Code for Weighted QMIX
  ☆129Updated 4 years ago