openai / safety-starter-agents
Basic constrained RL agents used in experiments for the "Benchmarking Safe Exploration in Deep Reinforcement Learning" paper.
☆417Updated 2 years ago
Alternatives and similar repositories for safety-starter-agents:
Users that are interested in safety-starter-agents are comparing it to the libraries listed below
- Tools for accelerating safe exploration research.☆526Updated 2 years ago
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆298Updated 2 years ago
- PyTorch implementation of Soft Actor-Critic (SAC)☆538Updated 3 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆307Updated 3 years ago
- PyTorch implementation of SAC-Discrete.☆301Updated 8 months ago
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆286Updated 4 years ago
- Author's PyTorch implementation of TD3+BC, a simple variant of TD3 for offline RL☆355Updated 3 years ago
- NeurIPS 2023: Safety-Gymnasium: A Unified Safe Reinforcement Learning Benchmark☆443Updated last month
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆488Updated 2 years ago
- Benchmark for Continuous Multi-Agent Robotic Control, based on OpenAI's Mujoco Gym environments.☆346Updated 2 years ago
- Code for conservative Q-learning☆435Updated 3 years ago
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆259Updated 4 years ago
- An engine to create high performance multi-agent grid world environments with hundreds or thousands of agents, along with a set of refere…☆191Updated 2 years ago
- An extension of the PyMARL codebase that includes additional algorithms and environment support☆589Updated 6 months ago
- Author's PyTorch implementation of BCQ for continuous and discrete actions☆625Updated 4 years ago
- The repository is for safe reinforcement learning baselines.☆621Updated 2 months ago
- NeurIPS 2023: Safe Policy Optimization: A benchmark repository for safe reinforcement learning algorithms☆356Updated last year
- Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)☆220Updated 2 years ago
- Codebase for Evolutionary Reinforcement Learning (ERL) from the paper "Evolution-Guided Policy Gradients in Reinforcement Learning" publi…☆227Updated 4 years ago
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆166Updated last year
- Keeping track of RL experiments☆162Updated 2 years ago
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆167Updated 3 years ago
- PyTorch implementations of popular off-policy multi-agent reinforcement learning algorithms, including QMix, VDN, MADDPG, and MATD3.☆466Updated last year
- Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"☆206Updated 5 years ago
- Repo containing code for multi-agent deep reinforcement learning (MADRL).☆689Updated 2 years ago
- A plotter for reinforcement learning (RL)☆223Updated 3 years ago
- Offline Reinforcement Learning (aka Batch Reinforcement Learning) on Atari 2600 games☆548Updated last year
- A parallel framework for population-based multi-agent reinforcement learning.☆523Updated last year
- Mean Field Multi-Agent Reinforcement Learning☆392Updated 5 years ago
- A collection of multi agent environments based on OpenAI gym.☆598Updated 9 months ago