mahaitongdae / Feasible-Actor-CriticLinks
Code for paper Feasible Actor-Critic: Constrained Reinforcement Learning for Ensuring Statewise Safety.
☆20Updated 3 years ago
Alternatives and similar repositories for Feasible-Actor-Critic
Users that are interested in Feasible-Actor-Critic are comparing it to the libraries listed below
Sorting:
- Official open-source implementation of ICML 2022 paper: Reachability Constrainted Reinforcement Learning.☆36Updated 2 years ago
- Model-Free Safe Reinforcement Learning through Neural Barrier Certificate☆40Updated last year
- ☆75Updated last year
- [IEEE Transactions on Intelligent Transportation Systems] Curricular Subgoal for Inverse Reinforcement Learning☆15Updated last year
- Implementation of PPO Lagrangian in PyTorch☆47Updated 2 years ago
- PyTorch implementation of Constrained Reinforcement Learning for Soft Actor Critic Algorithm☆49Updated 2 years ago
- Code for the paper "WCSAC: Worst-Case Soft Actor Critic for Safety-Constrained Reinforcement Learning"☆55Updated last year
- Official implementation of the paper: Safe Model-Based Reinforcement Learning with an Uncertainty-Aware Reachability Certificate☆22Updated last year
- ☆17Updated 2 years ago
- This repository has code for the paper "Model-based Safe Deep Reinforcement Learning via a Constrained Proximal Policy Optimization Algor…☆27Updated last year
- A novel Hierarchical Imitation Learning algorithm based on AIRL.☆22Updated 2 years ago
- Code for "On the Robustness of Safe Reinforcement Learning under Observational Perturbations" (ICLR 2023)☆46Updated 6 months ago
- [Neurocomputing, 2023] Personalized Robotic Control via Constrained Multi-Objective Reinforcement Learning☆26Updated last year
- [IEEE TAI] Safe Multi-Agent Reinforcement Learning to Make decisions in Autonomous Driving.☆60Updated last month
- ☆10Updated 2 years ago
- Multi-agent version of highway_env simulator☆23Updated 4 years ago
- MPG is originated from the paper "Mixed policy gradient", which also contains a cluster of high-quality implementations of deep reinforce…☆21Updated 3 years ago
- Code for the NeurIPS 2021 paper "Safe Reinforcement Learning by Imagining the Near Future"☆45Updated 3 years ago
- Robust and safe deep reinforcement learning algorithms☆15Updated last year
- Code for L4DC 2022 paper: Joint Synthesis of Safety Certificate and Safe Control Policy Using Constrained Reinforcement Learning.☆15Updated last year
- Deep Learning (FS 2020)☆17Updated 2 years ago
- LiqunZhao / A-Barrier-Lyapunov-Actor-Critic-Reinforcement-Learning-Approach-for-Safe-and-Stable-Control☆30Updated last year
- Code for "Constrained Variational Policy Optimization for Safe Reinforcement Learning" (ICML 2022)☆78Updated 2 years ago
- Code accompanying the paper "Off-Policy Primal-Dual Safe Reinforcement Learning"☆18Updated last year
- Pytorch implementation of "Safe Exploration in Continuous Action Spaces" [Dalal et al.]☆72Updated 6 years ago
- Implementations of safe reinforcement learning algorithms☆28Updated last year
- ☆13Updated 2 years ago
- Official Github Repository for "Trust Region-Based Safe Distributional Reinforcement Learning for Multiple Constraints". (NeurIPS 2023)☆19Updated 7 months ago
- Pytorch implementation of PPO-Lagrangian, compared against PPO in a continous action Cart Pole environment.☆15Updated last year
- Communication-efficient MARL for CACC☆26Updated last year