haron1100 / Upside-Down-Reinforcement-Learning
Implementation of Schmidhuber's Upside Down Reinforcement Learning paper in PyTorch
☆27Updated 5 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
Sorting:
- Upside-Down Reinforcement Learning (⅂ꓤ) implementation in PyTorch. Based on the paper published by Jürgen Schmidhuber.☆77Updated 4 years ago
- MetaGenRL, a novel meta reinforcement learning algorithm. Unlike prior work, MetaGenRL can generalize to new environments that are entire…☆67Updated 4 years ago
- Bayesian Uncertainty Exploration in Deep Reinforcement Learning☆18Updated 7 years ago
- Recurrent continuous reinforcement learning algorithms implemented in Pytorch.☆51Updated 3 years ago
- PyTorch - Implicit Quantile Networks - Quantile Regression - C51☆22Updated 5 years ago
- PyTorch code to train and evaluate Procgen tasks☆25Updated 4 years ago
- TD3, SAC, IQN, Rainbow, PPO, Ape-X and etc. in TF1.x☆61Updated 4 years ago
- A python implemenation of tabular MuZero for educational purposes☆21Updated 5 years ago
- Continual Reinforcement Learning in 3D Non-stationary Environments☆37Updated 5 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
- Implementation of Bootstrap DQN and Randomized Prior Functions on ALE☆55Updated 2 months ago
- Jax implementation of Proximal Policy Optimization (PPO) specifically tuned for Procgen, with benchmarked results and saved model weights…☆55Updated 2 years ago
- AGAC: Adversarially Guided Actor-Critic☆49Updated 3 years ago
- A short and easy implementation of Quantile Regression DQN | Distributional Reinforcement Learning☆94Updated 4 years ago
- Implementation of "Training Agents using Upside-Down Reinforcement Learning (https://arxiv.org/pdf/1912.02877.pdf)"☆16Updated 5 years ago
- Random Network Distillation(RND) algo in Pytorch☆49Updated 6 years ago
- Combining Evolutionary Algorithms and deep RL in various ways☆102Updated 4 years ago
- Pytorch implementation of DreamerV2: MASTERING ATARI WITH DISCRETE WORLD MODELS☆51Updated 3 years ago
- Options of Interest: Temporal Abstraction with Interest Functions AAAI 2020☆25Updated 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
- A framework for easy prototyping of distributed reinforcement learning algorithms☆95Updated 4 years ago
- Code for the paper "Batch size invariance for policy optimization"☆49Updated 2 years ago
- Reinforcement learning algorithms in RLlib☆59Updated last year
- Revisiting Rainbow☆74Updated 3 years ago
- High-quality implementations of deep reinforcement learning algorithms for experiments☆51Updated 8 months ago
- Hierarchical Self-Play☆21Updated 6 years ago
- Actor Critic using Kronecker-Factored Trust Region☆19Updated 6 years ago
- Pytorch implementation of LOLA (https://arxiv.org/abs/1709.04326) using DiCE (https://arxiv.org/abs/1802.05098)☆95Updated 6 years ago
- Deep reinforcement learning implementation that trains AIs for the CodeCraft real-time strategy game.☆21Updated last year
- Code for the paper "Gamma-Models: Generative Temporal Difference Learning for Infinite-Horizon Prediction"☆44Updated last year