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
  ☆41Updated last year
• LxzGordon / Deep-Reinforcement-Learning-with-pytorch
  Basic reinforcement learning algorithms. Including:DQN,Double DQN, Dueling DQN, SARSA, REINFORCE, baseline-REINFORCE, Actor-Critic,DDPG,D…
  ☆94Updated 4 years ago
• TroddenSpade / Meta-Reinforcement-Learning
  Code snippets of Meta Reinforcement Learning algorithms
  ☆39Updated 2 years ago
• JohannesAck / tf2multiagentrl
  Clean implementation of Multi-Agent Reinforcement Learning methods (MADDPG, MATD3, MASAC, MAD4PG) in TensorFlow 2.x
  ☆161Updated 2 years ago
• Felhof / DiscreteSAC
  ☆40Updated 3 years ago
• Metro1998 / P-DQN
  Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space
  ☆53Updated 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…
  ☆63Updated 4 years ago
• oxwhirl / facmac
  ☆104Updated 3 years ago
• BY571 / SAC_discrete
  PyTorch implementation of the discrete Soft-Actor-Critic algorithm.
  ☆54Updated 4 years ago
• alirezakazemipour / Discrete-SAC-PyTorch
  PyTorch implementation of discrete version of Soft Actor-Critic.
  ☆36Updated 4 years ago
• MJ10 / matd3-pytorch
  PyTorch implementation of MATD3
  ☆13Updated 5 years ago
• RobvanGastel / rnn-sac
  Implementation of the Discrete Soft Actor-Critic algorithm with RNN policy in PyTorch
  ☆27Updated 2 years ago
• cycraig / MP-DQN
  Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"
  ☆221Updated 6 years ago
• XinJingHao / PPO-Continuous-Pytorch
  A clean and robust Pytorch implementation of PPO on continuous action space.
  ☆165Updated last year
• JohannesAck / MATD3implementation
  Code for the RL method MATD3 described in the paper "Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics…
  ☆87Updated 4 years ago
• verystrongjoe / qmix
  qmix
  ☆23Updated 5 years ago
• jianzhnie / deep-marl-toolkit
  MARLToolkit: The Multi-Agent Rainforcement Learning Toolkit. Include implementation of MAPPO, MADDPG, QMIX, VDN, COMA, IPPO, QTRAN, MAT..…
  ☆143Updated last year
• FlickerNiko / SAC-QMIX
  Algorithm that combines QMIX with SAC for Multi-Agent Reinforcement Learning.
  ☆53Updated 3 years ago
• stefanbschneider / mobile-env
  An open, minimalist Gymnasium environment for autonomous coordination in wireless mobile networks.
  ☆135Updated 11 months ago
• XinJingHao / SAC-Continuous-Pytorch
  a clean and robust Pytorch implementation of SAC on continuous action space
  ☆88Updated 6 months ago
• rhoowd / sched_net
  ☆89Updated 4 years ago
• Zhang-Xiaoxue / RL_algorithms_Pytorch
  Implement reinforcement learning algorithms in Pytorch
  ☆33Updated 4 years ago
• DKuan / MADDPG_torch
  The code for maddpg using pytorch
  ☆170Updated 5 years ago
• ffelten / MASAC
  Jax and Torch Multi-Agent SAC on PettingZoo API
  ☆91Updated 11 months ago
• Jonathan-Pearce / DDPG_PER
  Implementation of Deep Deterministic Policy Gradient (DDPG) with Prioritized Experience Replay (PER)
  ☆54Updated 7 months ago
• MoMe36 / BranchingDQN
  BranchingDQN
  ☆50Updated 6 years ago
• ling-pan / SD3
  ☆60Updated 5 years ago
• finninmunich / Maml-Reptile-RL
  Study of paper "Meta reinforcement learning for sim-to-real domain adaptation"
  ☆19Updated 3 years ago
• chauncygu / Multi-Agent-Constrained-Policy-Optimisation
  Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).
  ☆195Updated last year
• zoeyuchao / mappo
  This is the official implementation of Multi-Agent PPO.
  ☆120Updated 2 years ago