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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
43 commits to main branch, last one about a month 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
Pytorch Implementation of MuZero
Created
2019-12-13
37 commits to master branch, last one 2 years ago
Related papers for reinforcement learning, including classic papers and latest papers in top conferences
Created
2021-10-29
500 commits to main branch, last one about a month ago
Bayesian Reinforcement Learning in Tensorflow
Created
2018-06-13
72 commits to master branch, last one 3 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
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
World Model based Autonomous Driving Platform in CARLA :car:
Created
2024-05-12
193 commits to master branch, last one 27 days 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 6 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 5 days 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