Alternatives and similar repositories for Nash-Q-Learning

Users that are interested in Nash-Q-Learning are comparing it to the libraries listed below

• zlr20 / saferl_kit
  ☆75Updated last year
• huahuaedi / MARL_in_CAV_control_review
  Multi-Agent Reinforcement Learning for Connected and Automated Vehicles Control: Recent Advancements and Future Prospects
  ☆43Updated 6 months ago
• CORE-Robotics-Lab / Opponent-Modeling
  ☆38Updated 7 months ago
• akjayant / PPO_Lagrangian_PyTorch
  Implementation of PPO Lagrangian in PyTorch
  ☆50Updated 3 years ago
• AlgTUDelft / WCSAC
  Code for the paper "WCSAC: Worst-Case Soft Actor Critic for Safety-Constrained Reinforcement Learning"
  ☆59Updated 2 years ago
• jjyyxx / srlnbc
  Model-Free Safe Reinforcement Learning through Neural Barrier Certificate
  ☆40Updated last year
• mahaitongdae / Feasible-Actor-Critic
  Code for paper Feasible Actor-Critic: Constrained Reinforcement Learning for Ensuring Statewise Safety.
  ☆20Updated 3 years ago
• SafeRL-Lab / Safe-MARL-in-Autonomous-Driving
  [IEEE TAI] Safe Multi-Agent Reinforcement Learning to Make decisions in Autonomous Driving.
  ☆69Updated 4 months ago
• DongChen06 / MACACC
  Communication-efficient MARL for CACC
  ☆26Updated 2 years ago
• 3neutronstar / flow_RL
  Reinforcement Learning Practice for Multi and Single-Agent Autonomous vehicle
  ☆13Updated 4 years ago
• ZiyuanMa / DHC
  Distributed Heuristic Multi-Agent Path Finding with Communication - ICRA 2021
  ☆72Updated 3 years ago
• Plankson / CSIRL
  [IEEE Transactions on Intelligent Transportation Systems] Curricular Subgoal for Inverse Reinforcement Learning
  ☆15Updated 2 years ago
• TMIS-Turbo / PRC-CMORL
  [Neurocomputing, 2023] Personalized Robotic Control via Constrained Multi-Objective Reinforcement Learning
  ☆28Updated last year
• daweidavidwang / MixedTrafficControl
  ☆27Updated 9 months ago
• Shuijing725 / VAE_trait_inference
  [ICRA 2022] Learning to Navigate Intersections with Unsupervised Driver Trait Inference
  ☆25Updated 7 months ago
• chauncygu / Multi-Agent-Constrained-Policy-Optimisation
  Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).
  ☆182Updated last year
• 011235813 / cm3
  Cooperative Multi-goal Multi-stage Multi-agent Reinforcement Learning
  ☆56Updated 3 years ago
• baimingc / highway_multiagent_env
  Multi-agent version of highway_env simulator
  ☆24Updated 4 years ago
• AgrawalAmey / safe-explorer
  Pytorch implementation of "Safe Exploration in Continuous Action Spaces" [Dalal et al.]
  ☆72Updated 6 years ago
• chauncygu / Safe-Multi-Agent-Mujoco
  Safe Multi-Agent MuJoCo benchmark for safe multi-agent reinforcement learning research.
  ☆65Updated last year
• ammarhydr / SAC-Lagrangian
  PyTorch implementation of Constrained Reinforcement Learning for Soft Actor Critic Algorithm
  ☆53Updated 3 years ago
• zisikons / deep-rl
  Deep Learning (FS 2020)
  ☆17Updated 2 years ago
• HaozheTian / Torch-PPO-Lagrangian
  Pytorch implementation of PPO-Lagrangian, compared against PPO in a continous action Cart Pole environment.
  ☆17Updated last year
• wuxiyang1996 / iPLAN
  iPLAN: Intent-Aware Planning in Heterogeneous Traffic via Distributed Multi-Agent Reinforcement Learning
  ☆40Updated 5 months ago
• rcheng805 / RL-CBF
  ☆155Updated 6 years ago
• rosewang2008 / rmaddpg
  ICML 2019 RL for Real Life Workshop: Recurrent MADDPG for Partially Observable and Limited Communication Settings
  ☆49Updated 5 years ago
• uoe-agents / robotic-warehouse
  Multi-Robot Warehouse (RWARE): A multi-agent reinforcement learning environment
  ☆70Updated 11 months ago
• akjayant / mbppol
  This repository has code for the paper "Model-based Safe Deep Reinforcement Learning via a Constrained Proximal Policy Optimization Algor…
  ☆28Updated 2 years ago
• varunjain3 / SafetyRL_HighwayEnv
  Applying Constrained Policy Networks on Highway Environment
  ☆43Updated 3 years ago
• TJU-DRL-LAB / Multiagent-RL
  The official code releasement of publications in MARL field of TJU RL lab.
  ☆80Updated 3 years ago