OctaviPascual / Berkeley-AI-CS188
🤖Artificial Intelligence - Berkeley - CS188 - Summer 2016
☆22Updated 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
- Introduction to AI course assignment at Berkeley in spring 2019☆75Updated 5 years ago
- Artificial Intelligence project designed by UC Berkeley. Designed game agents for the game Pacman using basic, adversarial and stochastic…☆98Updated 8 years ago
- NeurIPS2022: Constrained Update Projection Approach to Safe Policy Optimization☆12Updated last year
- Reinforcement Learning examples implementation and explanation☆324Updated 7 months ago
- The state-of-the-art in multi-agent Reinforcement Learning is the MADDPG algorithm which utilises DDPG actor-critic neural networks where…☆26Updated 5 years ago
- Implementation of Deep Q-learning to solve random mazes.☆18Updated 3 years ago
- Deep Deterministic Policy Gradient (DDPG) in Tensorflow 2☆28Updated last year
- CS188 Artificial Intelligence @UC Berkeley☆106Updated 8 years ago
- Deep recurrent Q learning on CartPole-v1 environment☆83Updated last year
- Multi agent PPO implementation in Pytorch for Unity ML Agents environments.☆26Updated 6 months ago
- Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2021)☆146Updated 2 years ago
- Collection of Deep Reinforcement Learning Algorithms implemented in PyTorch.☆77Updated 4 years ago
- AI Pacman, CS188 2019 summer version (Completed), original website:☆86Updated 4 years ago
- Code for a model-based version of Constrained Policy Optimization☆10Updated 3 years ago
- Reinforcement Learning | tensorflow implementation of DQN, Dueling DQN and Double DQN performed on Atari Breakout☆90Updated 6 years ago
- CS188 Introduction to Artificial Intelligence - Project Code☆16Updated 6 years ago
- This is the source code of "Efficient training techniques for multi-agent reinforcement learning in combatant tasks".☆73Updated 4 years ago
- Pytorch solutions for UC Berkeley's cs285 assignments☆124Updated 3 years ago
- Implementation of maddpg algorithm with tensorflow2☆9Updated 4 years ago
- Code for the RL method MATD3 described in the paper "Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics…☆79Updated 4 years ago
- Using reinforcement learning to find the shortest paths.☆28Updated 5 years ago
- Deep Q Learning for FrozenLake / Keras / OpenAI☆17Updated last year
- ☆40Updated 3 years ago
- Stanford convex optimization course☆81Updated 4 years ago
- ☆40Updated 3 weeks ago
- ☆94Updated 3 years ago
- A novel Hierarchical Imitation Learning algorithm based on AIRL.☆21Updated last year
- Stanford CS234: Reinforcement Learning Winter 2020☆19Updated last year
- Implementation of Deep RL Algorithms for UC Berkeley's CS 294-112 (Fall 2018): Deep Reinforcement Learning☆20Updated 5 years ago
- Distributed Heuristic Multi-Agent Path Finding with Communication - ICRA 2021☆64Updated 3 years ago