maxbrenner-ai / Reinforcement-Learning-Papers-Notes
Notes on many interesting RL papers
☆26Updated 5 years ago
Alternatives and similar repositories for Reinforcement-Learning-Papers-Notes:
Users that are interested in Reinforcement-Learning-Papers-Notes are comparing it to the libraries listed below
- Reinforcement learning algorithms in RLlib☆59Updated last year
- RL CIRL Research☆13Updated 2 years ago
- Hierarchical Self-Play☆21Updated 6 years ago
- PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.☆144Updated 3 years ago
- ☆39Updated 4 years ago
- DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow,…☆123Updated 4 years ago
- Pytorch starter code for UC Berkeley's cs285 assignments☆71Updated 3 years ago
- Safe Reinforcement Learning algorithms☆74Updated 2 years ago
- Collection of Deep Reinforcement Learning Algorithms implemented in PyTorch.☆78Updated 4 years ago
- General implementation of Advantage Actor Critic using Pytorch☆27Updated 3 years ago
- Upside-Down Reinforcement Learning (⅂ꓤ) implementation in PyTorch. Based on the paper published by Jürgen Schmidhuber.☆77Updated 4 years ago
- MetaGenRL, a novel meta reinforcement learning algorithm. Unlike prior work, MetaGenRL can generalize to new environments that are entire…☆67Updated 4 years ago
- Summary of key papers in deep reinforcement learning. Heavily based on OpenAI SpinningUp.☆80Updated 4 years ago
- A collection of multi-agent reinforcement learning OpenAI gym environments☆45Updated 4 years ago
- Hindsight Experience Replay - Bit flipping experiment in Tensorflow☆58Updated 6 years ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆140Updated 6 years ago
- Reading notes & PyTorch experiments on OpenAI's "Spinning Up in DRL" tutorial.☆38Updated 2 years ago
- Proximal policy optimization in PyTorch. Easy to read and understand.☆49Updated 4 years ago
- TorchingUp provides minimal implementations of common Reinforcement Learning algorithms written in PyTorch. It is meant to complement Ope…☆47Updated 2 years ago
- Emergence of complex strategies through multiagent competition☆44Updated 2 years ago
- Proximal Policy Optimization with Beta distribution - uses multi agent Unity ML Tennis☆29Updated 6 years ago
- Implementation of the Model-Based Meta-Policy-Optimization (MB-MPO) algorithm☆44Updated 6 years ago
- Solutions of assignments of Deep Reinforcement Learning course presented by the University of California, Berkeley (CS285) in Pytorch fra…☆138Updated 2 years ago
- A Tensorflow implementation of the Option-Critic Architecture☆72Updated 7 years ago
- Pytorch implementation of the Deep Deterministic Policy Gradients for Continuous Control☆26Updated 2 years ago
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing☆133Updated 9 months ago
- Awesome RL: Papers, Books, Codes, Benchmarks☆116Updated last year
- ☆129Updated 9 months ago
- Lightweight multi-agent gridworld Gym environment☆208Updated last year
- A collection of Reinforcement Learning GitHub code resources divided by frameworks and environments☆66Updated 3 years ago