d9w / deep-learning-intro
Introduction to Deep Learning
☆11Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for deep-learning-intro
- ☆26Updated 3 years ago
- Notebook for the Bayesian Optimization (quick) tutorial☆11Updated 3 years ago
- Python bindings to some optimization benchmarks (robotics problems), in order to constrained optimization solvers. Includes also an inter…☆20Updated last year
- ☆18Updated 3 years ago
- LearningByDoing NeurIPS 2021 Competition: Standalone Code and Results☆17Updated 2 years ago
- My solutions to CS285 2019 Fall of UC Berkeley☆14Updated 2 years ago
- Lecture notes, slides and scripts (LaTeX sources) in AI, Robotics, Machine Learning, Maths, Optimization☆114Updated last week
- All the source codes and lectures of reinforcement learning.☆27Updated 4 years ago
- This is a self-contained repository to explain two basic Reinforcement (RL) algorithms.☆76Updated 2 months ago
- Introduction to Gaussian Processes☆26Updated 6 years ago
- This is the code-base that I personally use as the starting point for any reinforcement learning codebase with the purpose of fast experi…☆12Updated last year
- ☆26Updated last year
- ☆17Updated last year
- Jupyter notebook for the MAP-Elites algorithms (Mouret & Clune, 2015)☆19Updated 2 years ago
- Implementation for paper "A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning".☆59Updated last month
- Solutions of assignments of Deep Reinforcement Learning course presented by the University of California, Berkeley (CS285) in Pytorch fra…☆133Updated 2 years ago
- Reinforcement learning for deep brain stimulation (DBS) modeling☆22Updated 2 years ago
- A graphical interface for reinforcement learning and gym-based environments.☆35Updated last year
- Deep Q-Network (DQN) and Fitted Q-Iteration (FQI) tutorial for RL Summer School 2023☆51Updated 2 weeks ago
- Official codebase for Improving Computational Efficiency in Visual Reinforcement Learning via Stored Embeddings.☆21Updated 3 years ago
- ☆43Updated 3 years ago
- Great resources for learning optimal control☆17Updated 5 years ago
- Compiled lecture notes for AA274☆20Updated 5 years ago
- Implementation of the Fast Efficient Hyperparameter Tuning for Policy Gradient Methods https://arxiv.org/abs/1902.06583☆17Updated 5 years ago
- Source code for "Multi-objective Model-based Policy Search for Data-efficient Learning with Sparse Rewards" (CoRL 2018)☆13Updated 6 years ago
- Ball & beam OpenAI gym environments☆15Updated 4 years ago
- Comp 781 Project☆8Updated 5 years ago
- Control with Deep Reinforcement Learning☆7Updated last year
- ☆53Updated 2 years ago