OctaviPascual / Berkeley-AI-CS188Links
🤖Artificial Intelligence - Berkeley - CS188 - Summer 2016
☆24Updated 6 years ago
Alternatives and similar repositories for Berkeley-AI-CS188
Users that are interested in Berkeley-AI-CS188 are comparing it to the libraries listed below
Sorting:
- Deep RL Baselines and homework assignments of UC Berkeley CS 285☆11Updated 3 years ago
- NeurIPS2022: Constrained Update Projection Approach to Safe Policy Optimization☆14Updated 2 years ago
- Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2021)☆145Updated 3 years ago
- Implementation of Hierarchical Control for Head-to-Head Autonomous Racing paper☆17Updated last year
- intro ML uc berkeley course taken spring 2019 homework backup☆9Updated 5 years ago
- CS188 Artificial Intelligence @UC Berkeley☆119Updated 8 years ago
- Pytorch solutions for UC Berkeley's cs285 assignments☆140Updated 3 years ago
- Implementation of Deep RL Algorithms for UC Berkeley's CS 294-112 (Fall 2018): Deep Reinforcement Learning☆22Updated 6 years ago
- Project solutions for CS188 Artificial Intelligence course☆12Updated 8 years ago
- Multi agent PPO implementation in Pytorch for Unity ML Agents environments.☆27Updated 11 months ago
- ☆41Updated 3 years ago
- Implementation of PPO Lagrangian in PyTorch☆49Updated 2 years ago
- Introduction to AI course assignment at Berkeley in spring 2019☆78Updated 6 years ago
- Stanford convex optimization course☆88Updated 4 years ago
- Implementation of value iteration algorithm for calculating an optimal MDP policy☆98Updated 7 years ago
- A Reinforcement Learning agent to perform overtaking action using Double DQN based CNNs which takes images as input built using TensorFlo…☆27Updated 4 years ago
- Implementations of Deep Reinforcement Learning Algorithms and Bench-marking with PyTorch☆135Updated 5 years ago
- Deep Neural Network course @ UC Berkeley, taken Spring 2019☆10Updated 2 years ago
- High-performance RL library for transportation problems, e.g., autonomous driving, traffic light control, UAV control, and path planning.☆27Updated last year
- Implementation of the Discrete Soft Actor-Critic algorithm with RNN policy in PyTorch☆27Updated 2 years ago
- PyTorch implementation of Constrained Policy Optimization☆54Updated 3 years ago
- Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2022)☆124Updated last year
- Berkeley CS285 2019 homework solution☆30Updated 2 years ago
- Basic reinforcement learning algorithms. Including:DQN,Double DQN, Dueling DQN, SARSA, REINFORCE, baseline-REINFORCE, Actor-Critic,DDPG,D…☆92Updated 4 years ago
- 🕹️ CS234: Reinforcement Learning, Winter 2019 | YouTube videos 👉☆307Updated 2 years ago
- CS 70 - Discrete Mathematics and Probability Theory - UC Berkeley - Fall 2017☆12Updated 7 years ago
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆180Updated last year
- ☆10Updated 3 years ago
- Self Driving Car Decal taught by Machine Learning @ Berkeley, fall 2019 at UC Berkeley.☆10Updated 5 years ago
- ☆12Updated last year