Meta Reinforcement Learning Experiments
☆35Aug 22, 2017Updated 8 years ago
Alternatives and similar repositories for meta-learning
Users that are interested in meta-learning are comparing it to the libraries listed below
Sorting:
- Code implementation of: "Graying the black box: Understanding DQNs"☆20Feb 23, 2017Updated 9 years ago
- Count based exploration with the successor representation for Unity ML's Pyramid☆12Jun 19, 2019Updated 6 years ago
- The Easiest Pytorch Implementation of Branching-DQN☆12Feb 10, 2021Updated 5 years ago
- Multiagent deep reinforcement learning research project☆29Jan 25, 2026Updated last month
- The Tensorflow code and a DeepMind Lab wrapper for my article "Meta-Reinforcement Learning" on FloydHub.☆37Mar 28, 2019Updated 6 years ago
- Reinforcement learning algorithm implementations and ML experimentation workspace☆43Jun 8, 2019Updated 6 years ago
- kmeans algorithm for GPU, with and without triangle inequality☆13Apr 6, 2010Updated 15 years ago
- Reinforcement Learning☆12Jun 22, 2017Updated 8 years ago
- Various DQN method with cartpole☆11May 30, 2018Updated 7 years ago
- Attentional Mechanism incorporated in Asynchronous Advantage Actor Critic a3c/a2c deep mind☆10Jan 9, 2018Updated 8 years ago
- Code associated with our paper "Estimating Risk and Uncertainty in Reinforcement Learning"☆11Oct 3, 2023Updated 2 years ago
- Gym wrapper for Vizdoom environments☆12Dec 14, 2018Updated 7 years ago
- Multi-Agent training using Deep Deterministic Policy Gradient Networks, Solving the Tennis Environment☆11Oct 20, 2018Updated 7 years ago
- This project applies Monte Carlo Tree Search (MCTS) to a simple grid world.☆10May 30, 2018Updated 7 years ago
- ☆11Oct 19, 2020Updated 5 years ago
- On Simple Reactive Neural Networks for Behaviour-Based Reinforcement Learning by Ameya Pore and Gerardo Aragon-Camarasa☆10Jan 28, 2020Updated 6 years ago
- Comp 781 Project☆10Jan 2, 2026Updated 2 months ago
- The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)☆27Feb 3, 2022Updated 4 years ago
- A simple Gridworld environment for Open AI gym☆25Jun 10, 2018Updated 7 years ago
- PyTorch implementation of DARLA preprocessing models☆11Jan 30, 2018Updated 8 years ago
- RL Agent for Atari Game Pong☆11Aug 25, 2019Updated 6 years ago
- Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)☆24May 30, 2019Updated 6 years ago
- Deep Q-Network (DQN) to play classic Atari Games☆11Sep 18, 2017Updated 8 years ago
- Taming MAML: efficient unbiased meta-reinforcement learning☆30Sep 30, 2022Updated 3 years ago
- Implementation of Model-Agnostic Meta-Learning (MAML) applied on Reinforcement Learning problems in TensorFlow 2.☆27May 11, 2021Updated 4 years ago
- the solustion to https://openai.com/requests-for-research☆12Mar 23, 2017Updated 8 years ago
- Reinforcement for state of the art visual slam algorithms with Deep Learning based solutions. Part of my master thesis at University of F…☆10Jul 29, 2018Updated 7 years ago
- testing MLP, DQN, PPO, SAC, policy-gradient by snakeAI☆11May 6, 2025Updated 9 months ago
- A MATLAB simple interactive Reinforcement Learning environment for Evolutionary Neural Network-based car with a proximity sensor☆14Apr 11, 2019Updated 6 years ago
- This software is a demonstration of Audio Signal Processing and Machine Learning using Python and Tensorflow. The software contains a GU…☆11Dec 7, 2023Updated 2 years ago
- Here is our algorithm for Pursuit Problem based on the Distributed Reinforcement Learning for Cooperative Multi-robot Pursuit☆10Apr 17, 2019Updated 6 years ago
- Hands On Reinforcement Learning with Python[Video], Published by Packt☆13Jan 14, 2021Updated 5 years ago
- train, deploy, and make inferences using deep reinforcement learning to solve the Travelling Salesperson Problem☆20Dec 22, 2023Updated 2 years ago
- Applying Imagination-Augmented Agents for Deep Reinforcement Learning to the Rubik's Cube☆16Jul 26, 2018Updated 7 years ago
- Code for the paper "Importance Weighted Transfer of Samples in Reinforcement Learning" (ICML 2018).☆16May 29, 2018Updated 7 years ago
- A collection of code investigating the use of information theory for abstractions in RL☆16Nov 14, 2018Updated 7 years ago
- Community Regularization of Visually Grounded Dialog https://arxiv.org/abs/1808.04359☆15May 16, 2019Updated 6 years ago
- An implementation of FeUdal Networks for Hierarchical Reinforcement Learning as published : https://arxiv.org/abs/1703.01161☆186Nov 1, 2017Updated 8 years ago
- Implementation of Hierarchical Deep Q-Learning (Kulkarni et al., 2016)☆35May 18, 2019Updated 6 years ago