facebookresearch / natural_rl_environmentLinks
Natural Environment Benchmarks for Reinforcement Learning
☆22Updated 6 years ago
Alternatives and similar repositories for natural_rl_environment
Users that are interested in natural_rl_environment are comparing it to the libraries listed below
Sorting:
- impact-driven-exploration☆131Updated last year
- Efficient Exploration via State Marginal Matching (2019)☆69Updated 5 years ago
- Invariant Causal Prediction for Block MDPs☆44Updated 5 years ago
- This repository contains code for the method and experiments of the paper "Learning with AMIGo: Adversarially Motivated Intrinsic Goals".☆61Updated last year
- MultiTask Environments for Reinforcement Learning.☆76Updated 2 years ago
- Automatic Data-Regularized Actor-Critic (Auto-DrAC)☆102Updated 2 years ago
- Implementation of the Box-World environment from the paper "Relational Deep Reinforcement Learning"☆46Updated last year
- krazy grid world☆25Updated 5 years ago
- A collection of RL algorithms written in JAX.☆98Updated 2 years ago
- Options of Interest: Temporal Abstraction with Interest Functions AAAI 2020☆25Updated 4 years ago
- AGAC: Adversarially Guided Actor-Critic☆48Updated 3 years ago
- Code accompanying the paper "Better Exploration with Optimistic Actor Critic" (NeurIPS 2019)☆70Updated last year
- CIC: Contrastive Intrinsic Control for Unsupervised Skill Discovery☆81Updated 2 years ago
- Modifiable OpenAI Gym environments for studying generalization in RL☆87Updated 6 years ago
- Code for reproducing experiments in Model-Based Active Exploration, ICML 2019☆78Updated 5 years ago
- General Modules for JAX☆65Updated 2 months ago
- CLEVR-Robot: a reinforcement learning environment combining vision, language and control.☆134Updated 10 months ago
- Reinforcement Learning with Latent Flow☆42Updated 4 years ago
- rllab's viskit with some added features☆73Updated 2 years ago
- Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees☆93Updated 5 years ago
- Hindsight policy gradients☆45Updated 5 years ago
- Deep Reinforcement Learning algorithms implemented in PyTorch☆49Updated 7 years ago
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆86Updated 4 years ago
- PAIRED in PyTorch 🔥☆60Updated 2 years ago
- On the pitfalls of measuring emergent communication☆34Updated 6 years ago
- ☆85Updated 4 years ago
- RE3: State Entropy Maximization with Random Encoders for Efficient Exploration☆68Updated 3 years ago
- Code for "Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills"☆36Updated 5 years ago
- Jax implementation of Proximal Policy Optimization (PPO) specifically tuned for Procgen, with benchmarked results and saved model weights…☆56Updated 2 years ago
- Collection of reinforcement learning algorithms☆16Updated 3 years ago