akjayant / PPO_Lagrangian_PyTorch
Implementation of PPO Lagrangian in PyTorch
☆35Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for PPO_Lagrangian_PyTorch
- ☆61Updated last year
- PyTorch implementation of Constrained Policy Optimization☆48Updated 3 years ago
- Pytorch implementation of "Safe Exploration in Continuous Action Spaces" [Dalal et al.]☆66Updated 5 years ago
- Code for the paper "WCSAC: Worst-Case Soft Actor Critic for Safety-Constrained Reinforcement Learning"☆51Updated last year
- Code for "Constrained Variational Policy Optimization for Safe Reinforcement Learning" (ICML 2022)☆65Updated last year
- Code for paper Feasible Actor-Critic: Constrained Reinforcement Learning for Ensuring Statewise Safety.☆16Updated 2 years ago
- Constrained Policy Optimization implementation on Safety Gym☆21Updated 2 years ago
- Official open-source implementation of ICML 2022 paper: Reachability Constrainted Reinforcement Learning.☆31Updated 2 years ago
- ☆14Updated 8 months ago
- PyTorch implementation of Constrained Reinforcement Learning for Soft Actor Critic Algorithm☆31Updated 2 years ago
- DSAC; Distributional Soft Actor-Critic☆114Updated 8 months ago
- Safe Multi-Agent MuJoCo benchmark for safe multi-agent reinforcement learning research.☆51Updated 5 months ago
- This repository has code for the paper "Model-based Safe Deep Reinforcement Learning via a Constrained Proximal Policy Optimization Algor…☆25Updated last year
- 🚀 A fast safe reinforcement learning library in PyTorch☆165Updated last month
- Implementations of safe reinforcement learning algorithms☆21Updated 8 months ago
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆146Updated 7 months ago
- Model-Free Safe Reinforcement Learning through Neural Barrier Certificate☆30Updated 6 months ago
- Curricular Subgoal for Inverse Reinforcement Learning☆13Updated last year
- Paper list for constrained policy optimization in reinforcement learning.☆68Updated last year
- Code for "On the Robustness of Safe Reinforcement Learning under Observational Perturbations" (ICLR 2023)☆41Updated last year
- Safe Reinforcement Learning in Constrained Markov Decision Processes☆55Updated 4 years ago
- Transformer in RL for decision-making☆75Updated last year
- Author's Pytorch implementation of ICLR2023 paper Behavior Proximal Policy Optimization (BPPO).☆73Updated 11 months ago
- ☆16Updated last year
- Official implementation for the NeurIPS 2023 paper: "Reduced Policy Optimization for Continuous Control with Hard Constraints"☆28Updated 7 months ago
- Official Github Repository for "Trust Region-Based Safe Distributional Reinforcement Learning for Multiple Constraints". (NeurIPS 2023)☆15Updated last week
- code implementation for 'Bi-level Actor-Critic for Multi-agent Coordination'(AAAI2020)☆55Updated 4 years ago
- The official code releasement of publications in MARL field of TJU RL lab.☆57Updated 2 years ago
- A collection of recent MARL papers☆75Updated this week