mahaitongdae / Feasible-Actor-Critic
Code for paper Feasible Actor-Critic: Constrained Reinforcement Learning for Ensuring Statewise Safety.
☆20Updated 2 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☆33Updated last year
- ☆72Updated last year
- Implementation of PPO Lagrangian in PyTorch☆45Updated 2 years ago
- PyTorch implementation of Constrained Reinforcement Learning for Soft Actor Critic Algorithm☆47Updated 2 years ago
- [IEEE Transactions on Intelligent Transportation Systems] Curricular Subgoal for Inverse Reinforcement Learning☆15Updated last year
- Communication-efficient MARL for CACC☆24Updated last year
- Code for the paper "WCSAC: Worst-Case Soft Actor Critic for Safety-Constrained Reinforcement Learning"☆54Updated last year
- Code for "On the Robustness of Safe Reinforcement Learning under Observational Perturbations" (ICLR 2023)☆46Updated 5 months 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
- Pytorch implementation of "Safe Exploration in Continuous Action Spaces" [Dalal et al.]☆72Updated 5 years ago
- Deep Learning (FS 2020)☆16Updated 2 years ago
- This repository has code for the paper "Model-based Safe Deep Reinforcement Learning via a Constrained Proximal Policy Optimization Algor…☆26Updated last year
- Official implementation of the paper: Safe Model-Based Reinforcement Learning with an Uncertainty-Aware Reachability Certificate☆22Updated last year
- ☆10Updated 2 years ago
- Code for Learning Barrier Certificates: Towards Safe Reinforcement Learning with Zero Training-time Violations☆18Updated 3 years ago
- A novel Hierarchical Imitation Learning algorithm based on AIRL.☆22Updated last year
- LiqunZhao / A-Barrier-Lyapunov-Actor-Critic-Reinforcement-Learning-Approach-for-Safe-and-Stable-Control☆28Updated last year
- [IEEE TAI] Safe Multi-Agent Reinforcement Learning to Make decisions in Autonomous Driving.☆55Updated 2 weeks ago
- Multi-agent version of highway_env simulator☆21Updated 4 years ago
- PyTorch implementation of Constrained Policy Optimization☆54Updated 3 years ago
- Pytorch implementation of PPO-Lagrangian, compared against PPO in a continous action Cart Pole environment.☆13Updated 11 months ago
- Robust and safe deep reinforcement learning algorithms☆14Updated last year
- ☆14Updated 2 years ago
- A pytorch implementation of Constrained Reinforcement Learning Algorithm, including Constrained Soft Actor Critic (Soft Actor Critic Lagr…☆37Updated last year
- Safe adversarial inverse reinforcement learning/imitation learning in the paper "Safety-Aware Adversarial Inverse Reinforcement Learning …☆18Updated 2 years ago
- [TNNLS] PGDQN: A generalized and efficient preference-guided epsilon-greedy policy equipped DQN for Atari and Autonomous Driving☆12Updated last year
- Code for the NeurIPS 2021 paper "Safe Reinforcement Learning by Imagining the Near Future"☆44Updated 3 years ago
- Implementations of safe reinforcement learning algorithms☆27Updated last year
- Multi-Agent Reinforcement Learning for Connected and Automated Vehicles Control: Recent Advancements and Future Prospects☆40Updated 3 months ago