RPC2 / DRL_paper_summaryLinks
Summary of key papers in deep reinforcement learning. Heavily based on OpenAI SpinningUp.
☆80Updated 5 years ago
Alternatives and similar repositories for DRL_paper_summary
Users that are interested in DRL_paper_summary are comparing it to the libraries listed below
Sorting:
- ☆198Updated 2 years ago
- The Reinforcement-Learning-Related Papers of ICLR 2019☆47Updated 6 years ago
- ☆112Updated 2 years ago
- Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"☆190Updated 2 years ago
- A library of probabilistic model based RL algorithms in pytorch☆107Updated 4 years ago
- Reading notes & PyTorch experiments on OpenAI's "Spinning Up in DRL" tutorial.☆38Updated 2 years ago
- rllab's viskit with some added features☆73Updated 2 years ago
- A curated list of awesome Model-based reinforcement learning resources☆94Updated 4 years ago
- pytorch-implementation of Dreamer (Model-based Image RL Algorithm)☆166Updated 5 months ago
- Pytorch implementations of RL algorithms, focusing on model-based, lifelong, reset-free, and offline algorithms. Official codebase for Re…☆105Updated 3 years ago
- Datasets for data-driven deep reinforcement learning with PyBullet environments☆149Updated 4 years ago
- My solution to assignments in UC Berkeley CS294-112: Deep Reinforcement Learning☆92Updated 6 years ago
- Decoupled Reward-free ExplorAtion and Execution for Meta-reinforcement learning☆91Updated 2 years ago
- OpenAI Gym wrapper for the DeepMind Control Suite☆217Updated last year
- A list of papers regarding generalization in (deep) reinforcement learning☆151Updated last year
- Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2021)☆145Updated 2 years ago
- A curated list of reinforcement learning environments and frameworks.☆51Updated 6 years ago
- Revisiting Rainbow☆75Updated 4 years ago
- A collection of Reinforcement Learning GitHub code resources divided by frameworks and environments☆66Updated 3 years ago
- My solutions to UC Berkeley CS285 (originally CS294-112, deeprlcourse) Fall 2019 assignments☆116Updated 2 years ago
- Learning Invariant Representations for Reinforcement Learning without Reconstruction☆148Updated 3 years ago
- ☆92Updated last year
- ☆66Updated 5 years ago
- ☆92Updated 4 years ago
- Gridworld for MARL experiments☆140Updated 4 years ago
- Pytorch starter code for UC Berkeley's cs285 assignments☆71Updated 3 years ago
- Pytorch implementation of distributed deep reinforcement learning☆76Updated 2 years ago
- Keeping track of RL experiments☆161Updated 2 years ago
- Modifiable OpenAI Gym environments for studying generalization in RL☆87Updated 6 years ago
- Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model☆151Updated 4 years ago