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MuZero
Created
2019-12-27
132 commits to master branch, last one 2 years ago
A curated list of awesome model based RL resources (continually updated)
Created
2021-12-28
47 commits to main branch, last one 2 months ago
PythonLinearNonLinearControl is a library implementing the linear and nonlinear control theories in python.
Created
2018-12-16
112 commits to master branch, last one 3 years ago
Reimplementation of World-Models (Ha and Schmidhuber 2018) in pytorch
Created
2018-06-26
114 commits to master branch, last one 5 years ago
Experiment code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"
Created
2018-08-13
7 commits to master branch, last one 5 years ago
Related papers for reinforcement learning, including classic papers and latest papers in top conferences
Created
2021-10-29
504 commits to main branch, last one 29 days ago
Pytorch Implementation of MuZero
Created
2019-12-13
37 commits to master branch, last one 2 years ago
Bayesian Reinforcement Learning in Tensorflow
Created
2018-06-13
72 commits to master branch, last one 4 years ago
World Model based Autonomous Driving Platform in CARLA :car:
Created
2024-05-12
202 commits to master branch, last one about a month ago
Code for 'Dynamics-Aware Unsupervised Discovery of Skills' (DADS). Enables skill discovery without supervision, which can be combined with model-based control.
Created
2020-02-28
15 commits to master branch, last one 4 years ago
Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"
Created
2019-01-03
32 commits to master branch, last one 5 years ago
Solutions of assignments of Deep Reinforcement Learning course presented by the University of California, Berkeley (CS285) in Pytorch framework
Created
2020-06-13
38 commits to master branch, last one 4 years ago
Re-implementations of SOTA RL algorithms.
Created
2020-11-28
285 commits to main branch, last one about a year ago
Code for "Planning Goals for Exploration", ICLR2023 Spotlight. An unsupervised RL agent for hard exploration tasks.
Created
2023-03-10
7 commits to master branch, last one about a year ago
Recall to Imagine, a model-based RL algorithm with superhuman memory. Oral (1.2%) @ ICLR 2024
Created
2024-03-25
2 commits to main branch, last one 10 months ago
Reinforcement Learning Short Course
offline-rl
q-learning
ridesharing
deep-q-network
model-based-rl
policy-gradient
value-iteration
policy-iteration
fitted-q-iteration
dynamic-programming
monte-carlo-methods
policy-based-method
off-policy-evaluation
reinforcement-learning
markov-decision-processes
order-dispatch-recommendation
temporal-differencing-learning
Created
2023-02-07
90 commits to main branch, last one 4 months ago
Reinforcement learning algorithms in RLlib
Created
2019-09-12
2,657 commits to master branch, last one about a year ago
JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"
Created
2021-06-06
10 commits to main branch, last one 3 years ago
A number of agents (PPO, MuZero) with a Perceiver-based NN architecture that can be trained to achieve goals in nethack/minihack environments.
Created
2021-06-17
144 commits to main branch, last one 2 years ago
Toolkit of Causal Model-based Reinforcement Learning.
Created
2022-05-23
65 commits to main branch, last one 2 years ago
Model-based Offline Policy Optimization re-implement all by pytorch
Created
2022-07-03
23 commits to master branch, last one about a year ago