koulanurag / mmn
Moore Machine Networks (MMN): Learning Finite-State Representations of Recurrent Policy Networks
☆50Updated 2 years ago
Alternatives and similar repositories for mmn
Users that are interested in mmn are comparing it to the libraries listed below
Sorting:
- Modifiable OpenAI Gym environments for studying generalization in RL☆87Updated 6 years ago
- ☆85Updated 4 years ago
- This repository contains code for the method and experiments of the paper "Learning with AMIGo: Adversarially Motivated Intrinsic Goals".☆61Updated last year
- Convert DeepMind Control Suite to OpenAI gym environments.☆86Updated 5 years ago
- Pytorch implementation of LOLA (https://arxiv.org/abs/1709.04326) using DiCE (https://arxiv.org/abs/1802.05098)☆95Updated 6 years ago
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆86Updated 3 years ago
- Easy MDPs and grid worlds with accessible transition dynamics to do exact calculations☆49Updated 3 years ago
- Code for 'The Grand Atari Challenge dataset' paper☆53Updated 7 years ago
- Code for reproducing experiments in Model-Based Active Exploration, ICML 2019☆78Updated 5 years ago
- Library to compare and evaluate reward functions☆67Updated last year
- krazy grid world☆25Updated 5 years ago
- Invariant Causal Prediction for Block MDPs☆44Updated 4 years ago
- Options of Interest: Temporal Abstraction with Interest Functions AAAI 2020☆25Updated 4 years ago
- ☆43Updated 8 years ago
- ☆98Updated 2 years ago
- impact-driven-exploration☆131Updated last year
- ☆44Updated 6 years ago
- Code accompanying the paper "Better Exploration with Optimistic Actor Critic" (NeurIPS 2019)☆70Updated last year
- Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees☆93Updated 5 years ago
- Revisiting Rainbow☆74Updated 3 years ago
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Updated 5 years ago
- ☆85Updated 9 months ago
- Implementation of the Box-World environment from the paper "Relational Deep Reinforcement Learning"☆46Updated last year
- Efficient Exploration via State Marginal Matching (2019)☆68Updated 5 years ago
- ☆103Updated 9 months ago
- MetaGenRL, a novel meta reinforcement learning algorithm. Unlike prior work, MetaGenRL can generalize to new environments that are entire…☆67Updated 4 years ago
- On the model-based stochastic value gradient for continuous reinforcement learning☆55Updated last year
- ☆47Updated 4 years ago
- PAIRED in PyTorch 🔥☆59Updated 2 years ago
- A job launching library for docker, EC2, GCP, etc.☆57Updated 3 years ago