BY571 / Upside-Down-Reinforcement-Learning
Upside-Down Reinforcement Learning (⅂ꓤ) implementation in PyTorch. Based on the paper published by Jürgen Schmidhuber.
☆77Updated 4 years ago
Alternatives and similar repositories for Upside-Down-Reinforcement-Learning:
Users that are interested in Upside-Down-Reinforcement-Learning are comparing it to the libraries listed below
- This repository contains code for the method and experiments of the paper "Learning with AMIGo: Adversarially Motivated Intrinsic Goals".☆61Updated last year
- Automatic Data-Regularized Actor-Critic (Auto-DrAC)☆103Updated last year
- Code accompanying the paper "Better Exploration with Optimistic Actor Critic" (NeurIPS 2019)☆69Updated last year
- A short and easy implementation of Quantile Regression DQN | Distributional Reinforcement Learning☆94Updated 4 years ago
- MultiTask Environments for Reinforcement Learning.☆74Updated 2 years ago
- TorchingUp provides minimal implementations of common Reinforcement Learning algorithms written in PyTorch. It is meant to complement Ope…☆44Updated 2 years ago
- Let's solve the flatland challenge!☆73Updated last year
- Revisiting Rainbow☆74Updated 3 years ago
- Modifiable OpenAI Gym environments for studying generalization in RL☆86Updated 6 years ago
- Code for the paper, "Learning Human Objectives by Evaluating Hypothetical Behavior"☆83Updated 5 years ago
- Implicit Normalizing Flows + Reinforcement Learning☆60Updated 5 years ago
- A framework for easy prototyping of distributed reinforcement learning algorithms☆95Updated 4 years ago
- impact-driven-exploration☆130Updated last year
- Continual Reinforcement Learning in 3D Non-stationary Environments☆37Updated 5 years ago
- Reinforcement Learning Assembly☆92Updated 3 years ago
- Starter Kit for NeurIPS 2020 - Procgen Competition on AIcrowd☆91Updated last year
- MetaGenRL, a novel meta reinforcement learning algorithm. Unlike prior work, MetaGenRL can generalize to new environments that are entire…☆67Updated 4 years ago
- Jax implementation of Proximal Policy Optimization (PPO) specifically tuned for Procgen, with benchmarked results and saved model weights…☆53Updated 2 years ago
- ☆47Updated 4 years ago
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆85Updated 3 years ago
- Highly Modular and Scalable Reinforcement Learning☆114Updated 5 years ago
- Train self-modifying neural networks with neuromodulated plasticity☆76Updated 5 years ago
- This is a pip package implementing Reinforcement Learning algorithms in non-stationary environments supported by the OpenAI Gym toolkit.☆31Updated 5 years ago
- Adapting the AlphaZero algorithm to remove the need of execution traces to train NPI.☆79Updated last year
- Code for "Data-Efficient Reinforcement Learning with Self-Predictive Representations"☆158Updated 3 years ago
- Reinforcement learning algorithms in RLlib☆57Updated 9 months ago
- Reinforcement Learning with Latent Flow☆43Updated 3 years ago
- Implementation of the Box-World environment from the paper "Relational Deep Reinforcement Learning"☆45Updated last year
- AGAC: Adversarially Guided Actor-Critic☆48Updated 3 years ago
- Pytorch implementation of LOLA (https://arxiv.org/abs/1709.04326) using DiCE (https://arxiv.org/abs/1802.05098)☆93Updated 6 years ago