LucasAlegre / morl-baselinesLinks
Multi-Objective Reinforcement Learning algorithms implementations.
☆468Updated 3 months ago
Alternatives and similar repositories for morl-baselines
Users that are interested in morl-baselines are comparing it to the libraries listed below
Sorting:
- Multi-objective Gymnasium environments for reinforcement learning☆353Updated 5 months ago
- BenchMARL is a library for benchmarking Multi-Agent Reinforcement Learning (MARL). BenchMARL allows to quickly compare different MARL alg…☆521Updated 3 weeks ago
- An extension of the PyMARL codebase that includes additional algorithms and environment support☆655Updated last year
- VMAS is a vectorized differentiable simulator designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of …☆491Updated 3 weeks ago
- The repository is for safe reinforcement learning baselines.☆731Updated last month
- ☆456Updated last year
- ☆275Updated last year
- ☆220Updated 2 years ago
- Multi-Agent Reinforcement Learning (MARL) papers☆281Updated 3 years ago
- Benchmark for Continuous Multi-Agent Robotic Control, based on OpenAI's Mujoco Gym environments.☆363Updated 2 years ago
- An engine for high performance multi-agent environments with very large numbers of agents, along with a set of reference environments☆313Updated 3 weeks ago
- Level-based Foraging (LBF): A multi-agent environment for RL☆198Updated last year
- Datasets with baselines for Offline MARL.☆190Updated last month
- Research Papers and Code Repository on the Integration of Evolutionary Algorithms and Reinforcement Learning☆332Updated last month
- An elegant PyTorch offline reinforcement learning library for researchers.☆372Updated 4 months ago
- A plotter for reinforcement learning (RL)☆234Updated 4 years ago
- PyTorch implementations of popular off-policy multi-agent reinforcement learning algorithms, including QMix, VDN, MADDPG, and MATD3.☆514Updated 2 years ago
- Deep Transformer Q-Networks for Partially Observable Reinforcement Learning☆171Updated last year
- PyTorch implementation of SAC-Discrete.☆312Updated last year
- Multi-Objective Reinforcement Learning☆292Updated 4 years ago
- NeurIPS 2023: Safety-Gymnasium: A Unified Safe Reinforcement Learning Benchmark☆519Updated this week
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆207Updated last year
- NeurIPS 2023: Safe Policy Optimization: A benchmark repository for safe reinforcement learning algorithms☆385Updated last year
- Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"☆222Updated 6 years ago
- Basic constrained RL agents used in experiments for the "Benchmarking Safe Exploration in Deep Reinforcement Learning" paper.☆449Updated 2 years ago
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆328Updated 2 years ago
- Official implementation of HARL algorithms based on PyTorch.☆824Updated 7 months ago
- Author's PyTorch implementation of TD3+BC, a simple variant of TD3 for offline RL☆380Updated 3 years ago
- Multi-Robot Warehouse (RWARE): A multi-agent reinforcement learning environment☆399Updated last year
- This is the official implementation of Multi-Agent PPO.☆125Updated 2 years ago