ammarhydr / SAC-LagrangianLinks
PyTorch implementation of Constrained Reinforcement Learning for Soft Actor Critic Algorithm
☆51Updated 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…☆40Updated 2 years ago
- Jax and Torch Multi-Agent SAC on PettingZoo API☆86Updated 8 months ago
- ☆23Updated last year
- Pytorch implementation of PPO-Lagrangian, compared against PPO in a continous action Cart Pole environment.☆17Updated last year
- Code for the paper "WCSAC: Worst-Case Soft Actor Critic for Safety-Constrained Reinforcement Learning"☆58Updated 2 years ago
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆181Updated last year
- Implementation of PPO Lagrangian in PyTorch☆50Updated 2 years ago
- Communication-efficient MARL for CACC☆26Updated 2 years ago
- Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space☆53Updated 3 years ago
- PyTorch implementation of Constrained Policy Optimization☆54Updated 3 years ago
- ☆62Updated last year
- Official implementation for the NeurIPS 2023 paper: "Reduced Policy Optimization for Continuous Control with Hard Constraints"☆38Updated last year
- Pytorch implementation of "Safe Exploration in Continuous Action Spaces" [Dalal et al.]☆72Updated 6 years ago
- a clean and robust Pytorch implementation of SAC on continuous action space☆83Updated 3 months ago
- Code for paper Feasible Actor-Critic: Constrained Reinforcement Learning for Ensuring Statewise Safety.☆20Updated 3 years ago
- Hybrid action space reinforcement learning algorithms.☆13Updated 4 years ago
- code implementation for 'Bi-level Actor-Critic for Multi-agent Coordination'(AAAI2020)☆60Updated 5 years ago
- TorchGRL is the source code for our paper Graph Convolution-Based Deep Reinforcement Learning for Multi-Agent Decision-Making in Mixed…☆94Updated 2 years ago
- code of paper 《Independent Reinforcement Learning for Weakly Cooperative Multiagent Traffic Control Problem》☆17Updated 4 years ago
- Implementations of MAPPO and IPPO on SMAC, the multi-agent StarCraft environment.☆72Updated 3 years ago
- PyTorch implementation of the discrete Soft-Actor-Critic algorithm.☆53Updated 3 years ago
- ☆42Updated 3 years ago
- Multi-Agent Reinforcement Learning for Connected and Automated Vehicles Control: Recent Advancements and Future Prospects☆42Updated 5 months ago
- ☆75Updated last year
- Code for "Constrained Variational Policy Optimization for Safe Reinforcement Learning" (ICML 2022)☆79Updated 2 years ago
- Implementation of Deep Deterministic Policy Gradient (DDPG) with Prioritized Experience Replay (PER)☆51Updated 5 months ago
- Official repository of the paper TransfQMix: Transformers for Leveraging the Graph Structure of Multi-Agent Reinforcement Learning Proble…☆49Updated last year
- Code for our paper: Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation☆118Updated 3 weeks ago
- [IEEE TAI] Safe Multi-Agent Reinforcement Learning to Make decisions in Autonomous Driving.☆65Updated 3 months ago
- Deep recurrent Q learning on CartPole-v1 environment☆91Updated last year