openai / safety-gymLinks
Tools for accelerating safe exploration research.
☆578Updated 2 years ago
Alternatives and similar repositories for safety-gym
Users that are interested in safety-gym are comparing it to the libraries listed below
Sorting:
- Basic constrained RL agents used in experiments for the "Benchmarking Safe Exploration in Deep Reinforcement Learning" paper.☆452Updated 2 years ago
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆527Updated 3 years ago
- PyTorch implementation of Soft Actor-Critic (SAC)☆582Updated 4 years ago
- RL starter files in order to immediately train, visualize and evaluate an agent without writing any line of code☆712Updated last year
- DQN Zoo is a collection of reference implementations of reinforcement learning agents developed at DeepMind based on the Deep Q-Network (…☆491Updated last year
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆331Updated 2 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆334Updated 4 years ago
- Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)☆506Updated 3 years ago
- A collection of multi agent environments based on OpenAI gym.☆626Updated last year
- A Python interface for reinforcement learning environments☆388Updated 3 years ago
- Mirror of Stable-Baselines: a fork of OpenAI Baselines, implementations of reinforcement learning algorithms☆306Updated 2 years ago
- This is the pytorch implementation of Hindsight Experience Replay (HER) - Experiment on all fetch robotic environments.☆439Updated 4 years ago
- Prioritized Experience Replay (PER) implementation in PyTorch☆357Updated 5 years ago
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆268Updated 5 years ago
- Benchmark for Continuous Multi-Agent Robotic Control, based on OpenAI's Mujoco Gym environments.☆365Updated 2 years ago
- Dream to Control: Learning Behaviors by Latent Imagination☆577Updated 4 years ago
- Code for the paper "Phasic Policy Gradient"☆267Updated 2 years ago
- PyTorch implementation of SAC-Discrete.☆314Updated last year
- Offline Reinforcement Learning (aka Batch Reinforcement Learning) on Atari 2600 games☆559Updated 2 years ago
- Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)☆766Updated 2 years ago
- Lightweight multi-agent gridworld Gym environment☆214Updated 2 years ago
- Experiment code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"☆471Updated 2 years ago
- Find best-response to a fixed policy in multi-agent RL☆289Updated 3 years ago
- Simple (but often Strong) Baselines for POMDPs in PyTorch, ICML 2022☆342Updated last year
- Author's PyTorch implementation of TD3+BC, a simple variant of TD3 for offline RL☆387Updated 4 years ago
- Repo containing code for multi-agent deep reinforcement learning (MADRL).☆729Updated 2 years ago
- Real-World RL Benchmark Suite☆364Updated 5 years ago
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆294Updated 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…☆194Updated 3 years ago
- CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning☆598Updated 5 years ago