buaazhangfan / CS294-112-Deep-Reinforcement-LearningLinks
Assignments for CS294-112 Deep Reinforcement Learning in UC Berkeley in Fall 2018
☆16Updated 7 years ago
Alternatives and similar repositories for CS294-112-Deep-Reinforcement-Learning
Users that are interested in CS294-112-Deep-Reinforcement-Learning are comparing it to the libraries listed below
Sorting:
- Solutions for CS294-112 Fall2018 assignments in Pytorch☆20Updated 7 years ago
- Assignments for CS294-112 Fall2018 in Pytorch☆63Updated 7 years ago
- My solution to assignments in UC Berkeley CS294-112: Deep Reinforcement Learning☆93Updated 6 years ago
- My solutions to Berkeley's CS294 (Deep Reinforcement Learning) Homework☆36Updated 7 years ago
- This is the pytorch implementation of ICML 2018 paper - Self-Imitation Learning.☆68Updated 7 years ago
- My solutions to CS285 2019 Fall of UC Berkeley☆14Updated 3 years ago
- My solutions to UC Berkeley CS285 (originally CS294-112, deeprlcourse) Fall 2019 assignments☆118Updated 3 years ago
- Meta Reinforcement Learning Experiments☆34Updated 8 years ago
- Ape-X DQN & DDPG with pytorch & tensorboard☆102Updated 6 years ago
- Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees☆55Updated 6 years ago
- Mind-aware Multi-agent Management Reinforcement Learning☆81Updated 6 years ago
- The Reinforcement-Learning-Related Papers of ICLR 2019☆47Updated 6 years ago
- Code to train RL agents along with Adversarial distrubance agents☆66Updated 8 years ago
- A comparison of parameter space noise methods for exploration in deep reinforcement learning☆29Updated 6 years ago
- My reading list for model-based control☆161Updated 7 years ago
- Code for paper "Episodic Memory Deep Q-Networks" (https://arxiv.org/abs/1805.07603), IJCAI 2018☆62Updated 7 years ago
- A collection of multi-agent reinforcement learning OpenAI gym environments☆46Updated 5 years ago
- Guided-Meta Policy Search☆39Updated 2 years ago
- Adversarial Imitation Via Variational Inverse Reinforcement Learning☆96Updated 6 years ago
- Stochastic Neural Networks for Hierarchical Reinforcement Learning☆94Updated 7 years ago
- A library of probabilistic model based RL algorithms in pytorch☆107Updated 4 years ago
- This is an implementation of the paper "Coordinated Multi Agent Imitation Learning", or the Sloan version "Data-Driven Ghosting using Dee…☆41Updated 7 years ago
- Code for "Divide-and-Conquer Reinforcement Learning"☆61Updated 7 years ago
- Implementation of Behavioral Cloning from Observationmentation☆16Updated 6 years ago
- Reinforcement Learning for robotics continuous control, mainly based on Proximal Policy Optimization, extending to Interpolated Policy Gr…☆38Updated 6 years ago
- TD3, SAC, IQN, Rainbow, PPO, Ape-X and etc. in TF1.x☆62Updated 4 years ago
- Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.☆55Updated 6 years ago
- Machine Learning Course Project Skoltech 2018☆108Updated 6 years ago
- ☆119Updated 6 years ago
- Code for hierarchical imitation learning and reinforcement learning☆300Updated 7 years ago