changmin-yu

https://changmin-yu.github.io/

Pinned Repositories

CartpoleDQN
Language:Jupyter Notebook0 0 00
CCWM_code
Python code base for the paper "Learning State Representations via Retracing in Reinforcement Learning" accepted in ICLR 2022, by Changmin Yu, Dong Li, Jianye Hao, Jun Wang, and Neil Burgess.
Language:Python3 1 01
changmin-yu.github.io
Language:JavaScript0 1 00
COIN_Python
Language:Python21
comp0014
Language:Jupyter Notebook0 2 00
desta-lunarlander
Language:Python1 1 00
grid-cell-models-python
Language:Python4 1 00
Hopfield-network-pattern-completion-knowledge-graph
4 2 00
Prediction_and_Generalisation_over_Directed_Actions_by_Grid_Cells
Python codes for implementations in "Prediction and Generalisation over Directed Actions by Grid Cells", by Changmin Yu, Timothy Behrens, Neil Burgess (ICLR 2021)
Language:Python5 2 10
structured-recognition-neurips-2022
Language:Python3 2 02

changmin-yu's Repositories

changmin-yu/Prediction_and_Generalisation_over_Directed_Actions_by_Grid_Cells
Python codes for implementations in "Prediction and Generalisation over Directed Actions by Grid Cells", by Changmin Yu, Timothy Behrens, Neil Burgess (ICLR 2021)
Language:Python5 2 10
changmin-yu/grid-cell-models-python
Language:Python4 1 00
changmin-yu/Hopfield-network-pattern-completion-knowledge-graph
4 2 00
changmin-yu/CCWM_code
Python code base for the paper "Learning State Representations via Retracing in Reinforcement Learning" accepted in ICLR 2022, by Changmin Yu, Dong Li, Jianye Hao, Jun Wang, and Neil Burgess.
Language:Python3 1 01
changmin-yu/structured-recognition-neurips-2022
Language:Python3 2 02
changmin-yu/COIN_Python
Language:Python21
changmin-yu/desta-lunarlander
Language:Python1 1 00
changmin-yu/CartpoleDQN
Language:Jupyter Notebook0 0 00
changmin-yu/changmin-yu.github.io
Language:JavaScript0 1 00
changmin-yu/comp0014
Language:Jupyter Notebook0 2 00
changmin-yu/curl
CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning
Language:Python0 0
changmin-yu/dm_control
DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
Language:Python0 0
changmin-yu/dreamer
Dream to Control: Learning Behaviors by Latent Imagination
changmin-yu/entorhinal_cells_multiplexity
Language:Python1 0
changmin-yu/gym
A toolkit for developing and comparing reinforcement learning algorithms.
Language:Python0 0
changmin-yu/HDC-attractor-Zhang-1996
Language:Jupyter Notebook
changmin-yu/IBP
Language:Python1 0
changmin-yu/Kalman-gain-recurrent-network
Language:Jupyter Notebook1 0
changmin-yu/mbpo_experiments
experiments on mbpo
1 0
changmin-yu/mbpo_pytorch
A pytorch reprelication of the model-based reinforcement learning algorithm MBPO
changmin-yu/OnPolicy
Language:Python0 0
changmin-yu/particle-filtering-playground
Language:Jupyter Notebook
changmin-yu/policy_dependent_mbrl
Language:Jupyter Notebook1 0
changmin-yu/PPO-PyTorch
Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch
Language:Python0 0
changmin-yu/slac
Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model
Language:Python0 0
changmin-yu/spie-neurips-2023
Language:Python1 0
changmin-yu/spr_test
test spr on dm_control
changmin-yu/TD3
Author's PyTorch implementation of TD3 for OpenAI gym tasks
Language:Python0 0
changmin-yu/tensorlayer
Deep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥
Language:Python0 0
changmin-yu/tsodyks_novelty_HN_neuron_2006
Language:Jupyter Notebook