OctaviPascual / Berkeley-AI-CS188
🤖Artificial Intelligence - Berkeley - CS188 - Summer 2016
☆23Updated 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
- Project solutions for CS188 Artificial Intelligence course☆12Updated 8 years ago
- Multi agent PPO implementation in Pytorch for Unity ML Agents environments.☆26Updated 8 months ago
- Reinforcement Learning in Pacman☆12Updated 6 years ago
- Code for a model-based version of Constrained Policy Optimization☆10Updated 3 years ago
- Artificial Intelligence project designed by UC Berkeley. Designed game agents for the game Pacman using basic, adversarial and stochastic…☆100Updated 9 years ago
- ☆11Updated 10 months ago
- Implementation of Deep Q-learning to solve random mazes.☆19Updated 3 years ago
- Introduction to AI course assignment at Berkeley in spring 2019☆75Updated 5 years ago
- CS188 Artificial Intelligence @UC Berkeley☆110Updated 8 years ago
- CS188 Introduction to Artificial Intelligence - Project Code☆16Updated 6 years ago
- Adversarial attacks in consensus-based multi-agent reinforcement learning☆22Updated 2 years ago
- Stanford convex optimization course☆84Updated 4 years ago
- NeurIPS2022: Constrained Update Projection Approach to Safe Policy Optimization☆12Updated last year
- AI Pacman, CS188 2019 summer version (Completed), original website:☆86Updated 4 years ago
- PyTorch implementation of Constrained Policy Optimization☆53Updated 3 years ago
- Value-Decomposition Networks For Cooperative Multi-Agent Learning☆22Updated 3 years ago
- Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2021)☆146Updated 2 years ago
- Stanford CS234: Reinforcement Learning Winter 2020☆19Updated 2 years ago
- Stanford CS234: Reinforcement Learning assignments and practices☆48Updated 8 months ago
- Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2022)☆121Updated last year
- Simple implementation for Constrained Policy Optimization in Pytorch☆15Updated 2 years ago
- DQN examples codes in chapter 4☆43Updated 2 years ago
- ☆23Updated 5 years ago
- The state-of-the-art in multi-agent Reinforcement Learning is the MADDPG algorithm which utilises DDPG actor-critic neural networks where…☆27Updated 5 years ago
- Solving openAI's game 'BipedalWalker-v2' with Deep Reinforcement Learning☆26Updated 4 years ago
- ☆144Updated 5 years ago
- 多智能体学习库☆18Updated 3 years ago
- Implementation of PPO Lagrangian in PyTorch☆38Updated 2 years ago
- Deep recurrent Q learning on CartPole-v1 environment☆87Updated last year
- Implementations of Deep Reinforcement Learning Algorithms and Bench-marking with PyTorch☆122Updated 5 years ago