berkeleydeeprlcourse / homework_fall2019
☆187Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for homework_fall2019
- My solutions to UC Berkeley CS285 (originally CS294-112, deeprlcourse) Fall 2019 assignments☆117Updated 2 years ago
- Multitask Environments for RL☆274Updated 3 years ago
- My solution to assignments in UC Berkeley CS294-112: Deep Reinforcement Learning☆90Updated 5 years ago
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆479Updated last year
- ☆389Updated 5 years ago
- A simple framework for experimenting with Reinforcement Learning in Python.☆272Updated 8 months ago
- Deep Planning Network: Control from pixels by latent planning with learned dynamics☆365Updated 3 years ago
- List of competitions related to Reinforcement Learning☆347Updated 10 months ago
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆253Updated 4 years ago
- Building Agents with Imagination: pytorch step-by-step implementation☆205Updated 5 years ago
- Reinforcement Learning with Deep Energy-Based Policies☆416Updated 11 months ago
- Implementation of Proximal Meta-Policy Search (ProMP) as well as related Meta-RL algorithm. Includes a useful experiment framework for Me…☆232Updated 2 years ago
- Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2020)☆250Updated 3 years ago
- Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"☆186Updated last year
- Experiment code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"☆431Updated last year
- Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)☆472Updated last year
- A high-performance Atari A3C agent in 180 lines of PyTorch☆171Updated 3 years ago
- Reinforcement learning algorithms for MuJoCo tasks☆364Updated 5 months ago
- DrQ: Data regularized Q☆406Updated last year
- Code for "Unsupervised State Representation Learning in Atari"☆242Updated last year
- ☆190Updated last year
- Learning to Adapt in Dynamic, Real-World Environment through Meta-Reinforcement Learning☆207Updated last year
- ☆130Updated 5 years ago
- Code for 'Dynamics-Aware Unsupervised Discovery of Skills' (DADS). Enables skill discovery without supervision, which can be combined wit…☆186Updated 3 years ago
- Policy Gradient algorithms (REINFORCE, NPG, TRPO, PPO)☆368Updated 5 years ago
- ICML 2018 Self-Imitation Learning☆276Updated 4 years ago
- Basic versions of agents from Spinning Up in Deep RL written in PyTorch☆197Updated 3 years ago
- This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch☆441Updated 5 years ago
- CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning☆572Updated 4 years ago
- Random Network Distillation pytorch☆241Updated 5 years ago