zhixuan-lin / cs285-fall-2019
My solutions to CS285 2019 Fall of UC Berkeley
☆14Updated 2 years ago
Alternatives and similar repositories for cs285-fall-2019:
Users that are interested in cs285-fall-2019 are comparing it to the libraries listed below
- Berkeley CS285 2019 homework solution☆30Updated 2 years ago
- Pytorch starter code for UC Berkeley's cs285 assignments☆71Updated 3 years ago
- Code for the paper "Gamma-Models: Generative Temporal Difference Learning for Infinite-Horizon Prediction"☆44Updated last year
- Great resources for learning optimal control☆17Updated 5 years ago
- Public Release of Plan2vec Implementation in pyTorch☆56Updated 2 years ago
- Project for my graduate neural networks course - combining RL with VAEs☆23Updated 5 years ago
- Repository for the paper "Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors"☆44Updated 2 years ago
- Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.☆56Updated 5 years ago
- Implementation for paper "A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning".☆59Updated 6 months ago
- Revisiting Rainbow☆74Updated 3 years ago
- A library of probabilistic model based RL algorithms in pytorch☆107Updated 4 years ago
- Reward Learning by Simulating the Past☆44Updated 5 years ago
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Updated 5 years ago
- Variational Reinforcement Learning☆16Updated 8 months ago
- ☆55Updated 2 years ago
- JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"☆43Updated 3 years ago
- Guided-Meta Policy Search☆40Updated 2 years ago
- Representing robots as graphs for reinforcement-learning in PyBullet locomotion environments.☆32Updated 4 years ago
- Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]☆37Updated 2 years ago
- [ICLR 2020, Oral] Harnessing Structures for Value-Based Planning and Reinforcement Learning☆33Updated 5 years ago
- This repository contains code for the method and experiments of the paper "Learning with AMIGo: Adversarially Motivated Intrinsic Goals".☆61Updated last year
- Implementation of the Model-Based Meta-Policy-Optimization (MB-MPO) algorithm☆44Updated 6 years ago
- Code accompanying the paper "Information Directed Reward Learning for Reinforcement Learning" (NeurIPS 2021).☆14Updated 3 years ago
- ☆31Updated 6 years ago
- Code for reproducing experiments in Model-Based Active Exploration, ICML 2019☆78Updated 5 years ago
- The Differentiable Cross-Entropy Method☆126Updated 4 years ago
- ☆54Updated 7 years ago
- A repository for code of reinforcement learning algorithms with PyTorch☆30Updated 3 years ago
- Companion code to CoRL 2019 paper: E Bıyık, M Palan, NC Landolfi, DP Losey, D Sadigh. "Asking Easy Questions: A User-Friendly Approach to…☆18Updated 4 years ago
- Source code for "Multi-objective Model-based Policy Search for Data-efficient Learning with Sparse Rewards" (CoRL 2018)☆13Updated 6 years ago