srinadhu / RL_Pacman
Reinforcement Learning in Pacman
β12Updated 6 years ago
Alternatives and similar repositories for RL_Pacman:
Users that are interested in RL_Pacman are comparing it to the libraries listed below
- Collection of Deep Reinforcement Learning Algorithms implemented in PyTorch.β78Updated 4 years ago
- All of the code for my Medium articlesβ135Updated 3 years ago
- π€Artificial Intelligence - Berkeley - CS188 - Summer 2016β23Updated 6 years ago
- A Deep Q-Network trained to play Breakout Atari game on OpenAI Gym environment.β16Updated 3 years ago
- Tutorials for using ML-Agent and Unity3Dβ9Updated 3 years ago
- Simple bit flipping with sparse rewards using HER, similarly to the original paperβ40Updated 6 years ago
- β9Updated 2 years ago
- A 2D Particle Survival Environment for Deep Reinforcement Learningβ25Updated 5 years ago
- Jupyter notebook containing a solution to Sutton and Barto's gridworld problem with both a random agent and a Q-learning agent.β31Updated 7 years ago
- Solving OpenAI Gym problems.β186Updated 4 years ago
- A collection of reinforcement learning algorithm implementationsβ63Updated 10 months ago
- Host directory for all GradientCrescent and TowardsDataScience Deep Learning projectsβ38Updated 4 years ago
- Deep Reinforcement Learning Algorithms implemented with Tensorflow 2.3β99Updated 2 years ago
- Using N-step dueling DDQN with PER for playing Pacman gameβ22Updated 5 years ago
- Solving openAI's game 'BipedalWalker-v2' with Deep Reinforcement Learningβ26Updated 4 years ago
- Deep Reinforcement Learning with DQN, Double DQN, Dueling DQN, Noisy Net (Noisy DQN), and DQN with Prioritized Experience Replayβ97Updated 4 years ago
- β23Updated 2 years ago
- Series of deep reinforcement learning algorithms π€β29Updated 3 years ago
- A modular implementation for Proximal Policy Optimization in Tensorflow 2 using Eagerly Execution for the Super Mario Bros enviroment.β21Updated 5 years ago
- β28Updated 2 years ago
- Solutions of assignments of Deep Reinforcement Learning course presented by the University of California, Berkeley (CS285) in Pytorch fraβ¦β137Updated 2 years ago
- Here, we compare Q(\sigma) learning presented by Sutton and Barto in [1] to Tree-Backup, n-step Expected Sarsa, and n-step Sarsa.β14Updated 8 years ago
- A collection of pre-trained RL agents using Stable Baselines3β125Updated 5 months ago
- Implementation of HindSight Experience Replay paper with Pytorchβ29Updated 3 years ago
- β91Updated 4 years ago
- Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPGβ63Updated 5 years ago
- β8Updated 4 years ago
- Open source collection of Reinforcement Learning Environments.β76Updated last year
- SARSA, Q-Learning, Expected SARSA, SARSA(Ξ») and Double Q-learning Implementation and Analysisβ30Updated 5 years ago
- Reinforcement Learning - Implementation of Exercises, algorithms from the book Sutton Barto and David silver's RL course in Python, OpenAβ¦β24Updated 4 years ago