berkeleydeeprlcourse / homework_fall2019Links
☆183Updated 3 years ago
Alternatives and similar repositories for homework_fall2019
Users that are interested in homework_fall2019 are comparing it to the libraries listed below
Sorting:
- My solution to assignments in UC Berkeley CS294-112: Deep Reinforcement Learning☆93Updated 6 years ago
- My solutions to UC Berkeley CS285 (originally CS294-112, deeprlcourse) Fall 2019 assignments☆118Updated 3 years ago
- ☆397Updated 6 years ago
- List of competitions related to Reinforcement Learning☆350Updated last year
- Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2020)☆249Updated 4 years ago
- Multitask Environments for RL☆280Updated 4 years ago
- ☆273Updated 7 years ago
- Experiment code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"☆467Updated 2 years ago
- Deep Planning Network: Control from pixels by latent planning with learned dynamics☆373Updated 4 years ago
- A customizable framework to create maze and gridworld environments☆269Updated 6 years ago
- PyTorch implementation of Trust Region Policy Optimization☆450Updated 7 years ago
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆523Updated 3 years ago
- Keeping track of RL experiments☆165Updated 3 years ago
- Code for "Unsupervised State Representation Learning in Atari"☆255Updated 2 years ago
- ☆113Updated 6 years ago
- Building Agents with Imagination: pytorch step-by-step implementation☆210Updated 6 years ago
- ☆139Updated 6 years ago
- Random Network Distillation pytorch☆257Updated 6 years ago
- Reinforcement Learning with Deep Energy-Based Policies☆435Updated 2 years ago
- Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"☆195Updated 3 years ago
- Policy Gradient algorithms (REINFORCE, NPG, TRPO, PPO)☆370Updated 6 years ago
- A high-performance Atari A3C agent in 180 lines of PyTorch☆171Updated 4 years ago
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆268Updated 5 years ago
- rllab's viskit with some added features☆73Updated 2 years ago
- Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)☆505Updated 3 years ago
- Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model☆153Updated 5 years ago
- Real-World RL Benchmark Suite☆361Updated 5 years ago
- Soft Actor-Critic☆156Updated 7 years ago
- RAD: Reinforcement Learning with Augmented Data☆416Updated 4 years ago
- DrQ: Data regularized Q☆419Updated 2 years ago