aws-samples / sagemaker-rl-procgen-ray
☆17Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for sagemaker-rl-procgen-ray
- Reinforcement learning algorithms in RLlib☆56Updated 6 months ago
- Tutorial on Multi-Agent Reinforcement for Train Scheduling☆11Updated 4 years ago
- A simple Gridworld environment for Open AI gym☆24Updated 6 years ago
- Upside-Down Reinforcement Learning (⅂ꓤ) implementation in PyTorch. Based on the paper published by Jürgen Schmidhuber.☆76Updated 4 years ago
- ☆72Updated last year
- Bayesian Uncertainty Exploration in Deep Reinforcement Learning☆18Updated 7 years ago
- MetaGenRL, a novel meta reinforcement learning algorithm. Unlike prior work, MetaGenRL can generalize to new environments that are entire…☆66Updated 4 years ago
- My reproduction of various reinforcement learning algorithms (DQN variants, A3C, DPPO, RND with PPO) in Tensorflow.☆36Updated last year
- Implementation of the Fast Efficient Hyperparameter Tuning for Policy Gradient Methods https://arxiv.org/abs/1902.06583☆17Updated 5 years ago
- A python implemenation of tabular MuZero for educational purposes☆21Updated 4 years ago
- ☆18Updated 5 years ago
- Model-based reinforcement learning in TensorFlow☆54Updated 3 years ago
- Hierarchical Self-Play☆21Updated 5 years ago
- Code for experimenting with state and action abstractions in reinforcement learning.☆30Updated 3 years ago
- A collection of multi-agent reinforcement learning OpenAI gym environments☆44Updated 4 years ago
- Solutions to the Deep RL Bootcamp labs☆44Updated 7 years ago
- This repository contains code for the method and experiments of the paper "Learning with AMIGo: Adversarially Motivated Intrinsic Goals".☆61Updated last year
- Explore and find reinforcement learning environments in a list of 150+ open source environments.☆90Updated last year
- My solutions to Yandex Practical Reinforcement Learning course in PyTorch and Tensorflow☆55Updated 2 years ago
- Continual Reinforcement Learning in 3D Non-stationary Environments☆35Updated 5 years ago
- Modifiable OpenAI Gym environments for studying generalization in RL☆86Updated 5 years ago
- A collection of code investigating the use of information theory for abstractions in RL☆16Updated 6 years ago
- This is a pip package implementing Reinforcement Learning algorithms in non-stationary environments supported by the OpenAI Gym toolkit.☆32Updated 5 years ago
- Implementation of the Model-Based Meta-Policy-Optimization (MB-MPO) algorithm☆44Updated 6 years ago
- ☆128Updated 6 years ago
- Simple tools for statistical analyses in RL experiments☆66Updated 6 years ago
- Evolving deep neural network agents using Genetic Algorithms☆66Updated 5 years ago
- Deep reinforcement learning implementation that trains AIs for the CodeCraft real-time strategy game.☆20Updated last year
- Code for the paper, "Learning Human Objectives by Evaluating Hypothetical Behavior"☆83Updated 4 years ago
- Recurrent continuous reinforcement learning algorithms implemented in Pytorch.☆50Updated 3 years ago