matteocasolari / reinforcement-learning-an-introduction-solutions
Implementations for solutions to programming exercises of Reinforcement Learning: An Introduction, Second Edition (Sutton & Barto)
☆31Updated 2 years ago
Alternatives and similar repositories for reinforcement-learning-an-introduction-solutions:
Users that are interested in reinforcement-learning-an-introduction-solutions are comparing it to the libraries listed below
- Solving openAI's game 'BipedalWalker-v2' with Deep Reinforcement Learning☆26Updated 4 years ago
- My solution to assignments in UC Berkeley CS294-112: Deep Reinforcement Learning☆91Updated 6 years ago
- Exercise Solutions for Reinforcement Learning: An Introduction [2nd Edition]☆156Updated 4 years ago
- Implementation of Reinforcement Learning algorithms in Python, based on Sutton's & Barto's Book (Ed. 2)☆157Updated 4 years ago
- ☆95Updated 4 years ago
- My solutions to UC Berkeley CS285 (originally CS294-112, deeprlcourse) Fall 2019 assignments☆117Updated 2 years ago
- research and implementations of Deep RL agents and their applications☆49Updated last month
- Collection of Deep Reinforcement Learning Algorithms implemented in PyTorch.☆78Updated 4 years ago
- Solutions of assignments of Deep Reinforcement Learning course presented by the University of California, Berkeley (CS285) in Pytorch fra…☆136Updated 2 years ago
- Notes and exercise solutions for second edition of Sutton & Barto's book☆381Updated 2 years ago
- Berkeley CS285 2019 homework solution☆30Updated 2 years ago
- Explorer is a PyTorch reinforcement learning framework for exploring new ideas.☆92Updated this week
- State Space Models for Reinforcement Learning in Tensorflow☆19Updated 6 years ago
- A pytorch tutorial for DRL(Deep Reinforcement Learning)☆210Updated last year
- A repository for code of reinforcement learning algorithms with PyTorch☆30Updated 3 years ago
- ☆91Updated last year
- Implementation of Bootstrap DQN and Randomized Prior Functions on ALE☆55Updated 2 weeks ago
- Applying minimaxQ learning algorithm to 2 agents games☆33Updated 7 years ago
- Experiment code for testing effect of various action space transformations in reinforcement learning☆30Updated 4 years ago
- Pytorch solutions for UC Berkeley's cs285 assignments☆133Updated 3 years ago
- ☆127Updated 8 months ago
- Efficient Exploration through Bayesian Deep Q-Networks☆37Updated 7 years ago
- Deep Q-Network (DQN) and Fitted Q-Iteration (FQI) tutorial for RL Summer School 2023☆62Updated 4 months ago
- PyTorch implementation of "Model-based Reinforcement Learning for Semi-Markov Decision Processes with Neural ODEs", NeurIPS 2020☆39Updated 4 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆94Updated 2 years ago
- Solutions and figures for problems from Reinforcement Learning: An Introduction Sutton&Barto☆19Updated 5 years ago
- Solving POMDP using Recurrent networks☆85Updated 4 years ago
- Hands-on Reinforcement Learning with PyTorch, published by [Packt]☆52Updated 4 years ago
- Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC☆98Updated 5 years ago
- PyTorch implementation of Deterministic Generative Adversarial Imitation Learning (GAIL) for Off Policy learning☆66Updated 5 years ago