PKU-Alignment / Safe-Policy-OptimizationLinks
NeurIPS 2023: Safe Policy Optimization: A benchmark repository for safe reinforcement learning algorithms
β365Updated last year
Alternatives and similar repositories for Safe-Policy-Optimization
Users that are interested in Safe-Policy-Optimization are comparing it to the libraries listed below
Sorting:
- NeurIPS 2023: Safety-Gymnasium: A Unified Safe Reinforcement Learning Benchmarkβ457Updated 3 months ago
- π A fast safe reinforcement learning library in PyTorchβ194Updated 8 months ago
- The repository is for safe reinforcement learning baselines.β647Updated last month
- π€ Elegant implementations of offline safe RL algorithms in PyTorchβ205Updated 8 months ago
- An elegant PyTorch offline reinforcement learning library for researchers.β338Updated last year
- ILSwiss is an Easy-to-run Imitation Learning (IL, or Learning from Demonstration, LfD) and also Reinforcement Learning (RL) framework (teβ¦β170Updated last year
- β204Updated 2 years ago
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).β174Updated last year
- Author's PyTorch implementation of TD3+BC, a simple variant of TD3 for offline RLβ361Updated 3 years ago
- A plotter for reinforcement learning (RL)β224Updated 3 years ago
- Benchmark for Continuous Multi-Agent Robotic Control, based on OpenAI's Mujoco Gym environments.β352Updated 2 years ago
- DSAC; Distributional Soft Actor-Criticβ126Updated 3 months ago
- Code for "Constrained Variational Policy Optimization for Safe Reinforcement Learning" (ICML 2022)β77Updated 2 years ago
- PyTorch implementations of popular off-policy multi-agent reinforcement learning algorithms, including QMix, VDN, MADDPG, and MATD3.β482Updated last year
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPOβ168Updated 3 years ago
- PyTorch implementation of SAC-Discrete.β302Updated 10 months ago
- This is the official implementation of Multi-Agent PPO.β106Updated 2 years ago
- A collection of offline reinforcement learning algorithms.β185Updated 6 months ago
- DSAC-v2; DSAC-T; DASC; Distributional Soft Actor-Criticβ356Updated last week
- Constrained Policy Optimization implementation on Safety Gymβ27Updated 3 years ago
- Basic constrained RL agents used in experiments for the "Benchmarking Safe Exploration in Deep Reinforcement Learning" paper.β429Updated 2 years ago
- Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.β168Updated 6 months ago
- Code for conservative Q-learningβ446Updated 3 years ago
- Simple (but often Strong) Baselines for POMDPs in PyTorch, ICML 2022β319Updated 9 months ago
- PyTorch implementation of Constrained Policy Optimizationβ54Updated 3 years ago
- PyTorch implementation of GAIL and AIRL based on PPO.β223Updated 4 years ago
- β407Updated last year
- PyTorch implementation of Soft Actor-Critic (SAC)β545Updated 3 years ago
- β250Updated last year
- Official implementation of HARL algorithms based on PyTorch.β704Updated last month