Alternatives and similar repositories for PyTorch-CPO

Users that are interested in PyTorch-CPO are comparing it to the libraries listed below

• chauncygu / Multi-Agent-Constrained-Policy-Optimisation
  Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).
  ☆207Updated last year
• akjayant / PPO_Lagrangian_PyTorch
  Implementation of PPO Lagrangian in PyTorch
  ☆54Updated 3 years ago
• AlgTUDelft / WCSAC
  Code for the paper "WCSAC: Worst-Case Soft Actor Critic for Safety-Constrained Reinforcement Learning"
  ☆62Updated 2 years ago
• AgrawalAmey / safe-explorer
  Pytorch implementation of "Safe Exploration in Continuous Action Spaces" [Dalal et al.]
  ☆73Updated 6 years ago
• Jingliang-Duan / DSAC-v1
  DSAC; Distributional Soft Actor-Critic
  ☆134Updated 9 months ago
• dobro12 / CPO
  Constrained Policy Optimization implementation on Safety Gym
  ☆28Updated 3 years ago
• liuzuxin / cvpo-safe-rl
  Code for "Constrained Variational Policy Optimization for Safe Reinforcement Learning" (ICML 2022)
  ☆81Updated 2 years ago
• zoeyuchao / mappo
  This is the official implementation of Multi-Agent PPO.
  ☆125Updated 2 years ago
• BY571 / SAC_discrete
  PyTorch implementation of the discrete Soft-Actor-Critic algorithm.
  ☆55Updated 4 years ago
• Jonathan-Pearce / DDPG_PER
  Implementation of Deep Deterministic Policy Gradient (DDPG) with Prioritized Experience Replay (PER)
  ☆54Updated 9 months ago
• Felhof / DiscreteSAC
  ☆40Updated 4 years ago
• cyanrain7 / TRPO-in-MARL
  ☆220Updated 2 years ago
• ammarhydr / SAC-Lagrangian
  PyTorch implementation of Constrained Reinforcement Learning for Soft Actor Critic Algorithm
  ☆59Updated 3 years ago
• keep9oing / DRQN-Pytorch-CartPole-v1
  Deep recurrent Q learning on CartPole-v1 environment
  ☆96Updated last year
• oxwhirl / facmac
  ☆106Updated 4 years ago
• zlr20 / saferl_kit
  ☆78Updated 2 years ago
• liuzuxin / FSRL
  🚀 A fast safe reinforcement learning library in PyTorch
  ☆224Updated last year
• zbzhu99 / Constrained-Decision-Making-Paper-List
  Paper list for constrained policy optimization in reinforcement learning.
  ☆73Updated 2 years ago
• cycraig / MP-DQN
  Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"
  ☆222Updated 6 years ago
• oxwhirl / wqmix
  Code for Weighted QMIX
  ☆144Updated 5 years ago
• wjh720 / QPLEX
  ☆100Updated 5 years ago
• isp1tze / MAProj
  Multi-agent project (commnet, bicnet, maddpg) in pytorch for Multi-Agent Particle Environment
  ☆116Updated 2 years ago
• gxywy / rl-plotter
  A plotter for reinforcement learning (RL)
  ☆234Updated 3 years ago
• watakandai / hiro_pytorch
  Implementation of HIRO (Data-Efficient Hierarchical Reinforcement Learning)
  ☆112Updated 4 years ago
• laonahongchen / Bilevel-Optimization-in-Coordination-Game
  code implementation for 'Bi-level Actor-Critic for Multi-agent Coordination'(AAAI2020)
  ☆59Updated 5 years ago
• 011235813 / hierarchical-marl
  Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery
  ☆107Updated 3 years ago
• matteokarldonati / Counterfactual-Multi-Agent-Policy-Gradients
  PyTorch implementation of Foerster, Jakob N., et al. "Counterfactual multi-agent policy gradients."
  ☆61Updated 5 years ago
• XinJingHao / PPO-Continuous-Pytorch
  A clean and robust Pytorch implementation of PPO on continuous action space.
  ☆168Updated last year
• rosewang2008 / rmaddpg
  ICML 2019 RL for Real Life Workshop: Recurrent MADDPG for Partially Observable and Limited Communication Settings
  ☆50Updated 5 years ago
• Sonkyunghwan / QTRAN
  There will be updates later
  ☆87Updated 6 years ago