david-abel / simple_rlLinks
A simple framework for experimenting with Reinforcement Learning in Python.
☆327Updated last year
Alternatives and similar repositories for simple_rl
Users that are interested in simple_rl are comparing it to the libraries listed below
Sorting:
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆529Updated 3 years ago
- ☆397Updated 6 years ago
- Real-World RL Benchmark Suite☆364Updated 5 years ago
- Multitask Environments for RL☆281Updated 4 years ago
- Keeping track of RL experiments☆165Updated 3 years ago
- Sokoban environment for OpenAI Gym☆393Updated 2 years ago
- Experiment code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"☆471Updated 2 years ago
- Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO☆205Updated 3 years ago
- RL starter files in order to immediately train, visualize and evaluate an agent without writing any line of code☆712Updated last year
- Reproduction of OpenAI and DeepMind's "Deep Reinforcement Learning from Human Preferences"☆333Updated 4 years ago
- A Python interface for reinforcement learning environments☆390Updated 3 years ago
- A customizable framework to create maze and gridworld environments☆269Updated 6 years ago
- 🏆 gym-cooking: Code for "Too many cooks: Bayesian inference for coordinating multi-agent collaboration", Winner of the CogSci 2020 Compu…☆217Updated 4 years ago
- Mirror of Stable-Baselines: a fork of OpenAI Baselines, implementations of reinforcement learning algorithms☆306Updated 2 years ago
- Code for the paper "Phasic Policy Gradient"☆267Updated 2 years ago
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆332Updated 2 years ago
- Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)☆506Updated 3 years ago
- The RL Reliability Metrics library provides a set of metrics for measuring the reliability of reinforcement learning (RL) algorithms, as …☆164Updated 2 years ago
- Reinforcement Learning with Deep Energy-Based Policies☆435Updated 2 years ago
- ☆360Updated 3 years ago
- OpenAI Gym wrapper for the DeepMind Control Suite☆226Updated last year
- PyTorch implementation of Trust Region Policy Optimization☆450Updated 7 years ago
- Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"☆194Updated 3 years ago
- Deep Planning Network: Control from pixels by latent planning with learned dynamics☆374Updated 4 years ago
- ☆325Updated last year
- Clone of OpenAI's Spinning Up in PyTorch☆156Updated 3 years ago
- Random Network Distillation pytorch☆260Updated 6 years ago
- Lightweight multi-agent gridworld Gym environment☆213Updated 2 years ago
- This is the pytorch implementation of Hindsight Experience Replay (HER) - Experiment on all fetch robotic environments.☆439Updated 4 years ago
- Code for the paper "Leveraging Procedural Generation to Benchmark Reinforcement Learning"☆179Updated 2 years ago