ammarhydr / SAC-LagrangianLinks
PyTorch implementation of Constrained Reinforcement Learning for Soft Actor Critic Algorithm
☆54Updated 3 years ago
Alternatives and similar repositories for SAC-Lagrangian
Users that are interested in SAC-Lagrangian are comparing it to the libraries listed below
Sorting:
- A pytorch implementation of Constrained Reinforcement Learning Algorithm, including Constrained Soft Actor Critic (Soft Actor Critic Lagr…☆42Updated 2 years ago
- Jax and Torch Multi-Agent SAC on PettingZoo API☆92Updated 11 months ago
- Implementation of PPO Lagrangian in PyTorch☆50Updated 3 years ago
- ☆26Updated last year
- Pytorch implementation of PPO-Lagrangian, compared against PPO in a continous action Cart Pole environment.☆18Updated last year
- Communication-efficient MARL for CACC☆27Updated 2 years ago
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆197Updated last year
- PyTorch implementation of Constrained Policy Optimization☆55Updated 4 years ago
- Code for the paper "WCSAC: Worst-Case Soft Actor Critic for Safety-Constrained Reinforcement Learning"☆61Updated 2 years ago
- a clean and robust Pytorch implementation of SAC on continuous action space☆88Updated 6 months ago
- Official implementation for the NeurIPS 2023 paper: "Reduced Policy Optimization for Continuous Control with Hard Constraints"☆42Updated last year
- Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space☆53Updated 3 years ago
- Pytorch implementation of "Safe Exploration in Continuous Action Spaces" [Dalal et al.]☆73Updated 6 years ago
- Code for paper Feasible Actor-Critic: Constrained Reinforcement Learning for Ensuring Statewise Safety.☆20Updated 3 years ago
- [IEEE TAI] Safe Multi-Agent Reinforcement Learning to Make decisions in Autonomous Driving.☆78Updated 6 months ago
- Code for the RL method MATD3 described in the paper "Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics…☆88Updated 4 years ago
- Code for "Constrained Variational Policy Optimization for Safe Reinforcement Learning" (ICML 2022)☆80Updated 2 years ago
- Multi-Agent Reinforcement Learning for Connected and Automated Vehicles Control: Recent Advancements and Future Prospects☆49Updated 8 months ago
- code implementation for 'Bi-level Actor-Critic for Multi-agent Coordination'(AAAI2020)☆59Updated 5 years ago
- Simple implementation for Constrained Policy Optimization in Pytorch☆16Updated 3 years ago
- PyTorch implementation of MATD3☆13Updated 5 years ago
- ☆77Updated 2 years ago
- Code for our paper: Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation☆125Updated 3 months ago
- Transformer-based Multi-Agent Actor-Critic Framework☆46Updated 3 years ago
- Implementations of MAPPO and IPPO on SMAC, the multi-agent StarCraft environment.☆71Updated 3 years ago
- Constrained Policy Optimization implementation on Safety Gym☆28Updated 3 years ago
- ICML 2019 RL for Real Life Workshop: Recurrent MADDPG for Partially Observable and Limited Communication Settings☆50Updated 5 years ago
- ☆45Updated 3 years ago
- ☆66Updated last year
- DSAC; Distributional Soft Actor-Critic☆132Updated 8 months ago