matteocasolari / reinforcement-learning-an-introduction-solutions
Implementations for solutions to programming exercises of Reinforcement Learning: An Introduction, Second Edition (Sutton & Barto)
☆30Updated 2 years ago
Related projects: ⓘ
- Pytorch solutions for UC Berkeley's cs285 assignments☆118Updated 2 years ago
- ☆87Updated 4 years ago
- Pytorch starter code for UC Berkeley's cs285 assignments☆68Updated 2 years ago
- A repository for code of reinforcement learning algorithms with PyTorch☆29Updated 3 years ago
- Solutions of assignments of Deep Reinforcement Learning course presented by the University of California, Berkeley (CS285) in Pytorch fra…☆132Updated last year
- Offline Reinforcement Learning Reading Group☆24Updated last year
- Implementation of Bootstrap DQN and Randomized Prior Functions on ALE☆52Updated 4 years ago
- Adversarial Inverse Reinforcement Learning Implement For Mountain Car☆29Updated 2 years ago
- Exercise Solutions for Reinforcement Learning: An Introduction [2nd Edition]☆155Updated 3 years ago
- My solutions to UC Berkeley CS285 (originally CS294-112, deeprlcourse) Fall 2019 assignments☆116Updated last year
- Berkeley CS285 2019 homework solution☆30Updated last year
- Industrial Benchmark☆124Updated last year
- My solution to assignments in UC Berkeley CS294-112: Deep Reinforcement Learning☆90Updated 5 years ago
- Reinforcement Learning Methods with PyTorch☆37Updated 4 years ago
- Deep Reinforcement Learning for Continuous Control in PyTorch☆92Updated 2 years ago
- Implementation of Reinforcement Learning algorithms in Python, based on Sutton's & Barto's Book (Ed. 2)☆151Updated 4 years ago
- Deep Q-Network (DQN) and Fitted Q-Iteration (FQI) tutorial for RL Summer School 2023☆49Updated last year
- Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC☆92Updated 5 years ago
- ☆90Updated 9 months ago
- Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)☆208Updated 2 years ago
- Code for Stabilizing Off-Policy RL via Bootstrapping Error Reduction☆158Updated 4 years ago
- My Solutions of Assignments of CS234: Reinforcement Learning Winter 2019☆163Updated last year
- Public code for implementation and experiments with differentiable decision trees.☆24Updated 2 years ago
- Python implementations of the RL algorithms in examples and figures in Sutton & Barto, Reinforcement Learning: An Introduction☆82Updated 5 years ago
- My solutions to CS285 2019 Fall of UC Berkeley☆14Updated last year
- https://cs330.stanford.edu/☆60Updated last year
- Explorer is a PyTorch reinforcement learning framework for exploring new ideas.☆88Updated 2 weeks ago
- Applying minimaxQ learning algorithm to 2 agents games☆32Updated 6 years ago
- Stanford CS234: Reinforcement Learning assignments and practices☆31Updated last month
- A list of papers regarding generalization in (deep) reinforcement learning☆141Updated last year