Alternatives and similar repositories for marl_ppo

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

• BY571 / Soft-Actor-Critic-and-Extensions
  PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…
  ☆290Updated 4 years ago
• AboudyKreidieh / h-baselines
  A repository of high-performing hierarchical reinforcement learning models and algorithms.
  ☆317Updated 2 years ago
• nikhilbarhate99 / Hierarchical-Actor-Critic-HAC-PyTorch
  PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments
  ☆319Updated 3 years ago
• schroederdewitt / multiagent_mujoco
  Benchmark for Continuous Multi-Agent Robotic Control, based on OpenAI's Mujoco Gym environments.
  ☆358Updated 2 years ago
• toshikwa / sac-discrete.pytorch
  PyTorch implementation of SAC-Discrete.
  ☆307Updated last year
• adik993 / ppo-pytorch
  Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)
  ☆143Updated 6 years ago
• ac-93 / soft-actor-critic
  Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.
  ☆97Updated 5 years ago
• Farama-Foundation / MAgent
  An engine to create high performance multi-agent grid world environments with hundreds or thousands of agents, along with a set of refere…
  ☆194Updated 2 years ago
• denisyarats / pytorch_sac
  PyTorch implementation of Soft Actor-Critic (SAC)
  ☆555Updated 3 years ago
• toshikwa / gail-airl-ppo.pytorch
  PyTorch implementation of GAIL and AIRL based on PPO.
  ☆222Updated 4 years ago
• toshikwa / soft-actor-critic.pytorch
  PyTorch implementation of Soft Actor-Critic(SAC).
  ☆103Updated 5 years ago
• gxywy / rl-plotter
  A plotter for reinforcement learning (RL)
  ☆229Updated 3 years ago
• kevslinger / DTQN
  Deep Transformer Q-Networks for Partially Observable Reinforcement Learning
  ☆165Updated last year
• Felhof / DiscreteSAC
  ☆40Updated 3 years ago
• AntoineTheb / RNN-RL
  Experiments with reinforcement learning and recurrent neural networks
  ☆114Updated last year
• RunzheYang / MORL
  Multi-Objective Reinforcement Learning
  ☆282Updated 4 years ago
• sfujim / TD3_BC
  Author's PyTorch implementation of TD3+BC, a simple variant of TD3 for offline RL
  ☆367Updated 3 years ago
• zoeyuchao / mappo
  This is the official implementation of Multi-Agent PPO.
  ☆113Updated 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…
  ☆91Updated 4 years ago
• chauncygu / Multi-Agent-Constrained-Policy-Optimisation
  Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).
  ☆181Updated last year
• atavakol / action-branching-agents
  (AAAI 2018) Action Branching Architectures for Deep Reinforcement Learning
  ☆116Updated 2 years ago
• schneimo / ddpg-pytorch
  PyTorch implementation of DDPG for continuous control tasks.
  ☆46Updated 5 years ago
• philtabor / Actor-Critic-Methods-Paper-To-Code
  ☆184Updated 3 years ago
• qian18long / epciclr2020
  ☆121Updated 2 years ago
• cycraig / MP-DQN
  Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"
  ☆219Updated 6 years ago
• BY571 / SAC_discrete
  PyTorch implementation of the discrete Soft-Actor-Critic algorithm.
  ☆53Updated 3 years ago
• ermongroup / MA-AIRL
  Multi-Agent Adversarial Inverse Reinforcement Learning, ICML 2019.
  ☆210Updated 6 years ago
• 011235813 / hierarchical-marl
  Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery
  ☆105Updated 3 years ago
• BY571 / DQN-Atari-Agents
  DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow,…
  ☆121Updated 4 years ago
• cyanrain7 / TRPO-in-MARL
  ☆215Updated 2 years ago