TD3, SAC, IQN, Rainbow, PPO, Ape-X and etc. in TF1.x
☆62Apr 5, 2021Updated 4 years ago
Alternatives and similar repositories for model-free-algorithms
Users that are interested in model-free-algorithms are comparing it to the libraries listed below
Sorting:
- A PyTorch implementation of SEED, originally created by Google Research for TensorFlow 2.☆15Dec 8, 2020Updated 5 years ago
- ☆15Feb 25, 2026Updated last week
- Distributed Rainbow-IQN for Atari☆80Dec 17, 2019Updated 6 years ago
- RLtime is a reinforcement learning library focused on state-of-the-art q-learning algorithms and features☆142Sep 23, 2019Updated 6 years ago
- Ranking Policy Gradient☆23Nov 27, 2019Updated 6 years ago
- Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model☆154Oct 26, 2020Updated 5 years ago
- Tensorflow 2 source code for the PI-SAC agent from "Predictive Information Accelerates Learning in RL" (NeurIPS 2020)☆45Jun 8, 2023Updated 2 years ago
- ☆11Feb 22, 2019Updated 7 years ago
- Keras implementation of guide actor-critic for continuous control☆11Mar 12, 2018Updated 7 years ago
- Notes for papers or blog posts about ML, Robotics, CV.☆15Jan 4, 2019Updated 7 years ago
- learning to play atari games with reinforcement learning☆10Jan 4, 2016Updated 10 years ago
- ☆30Nov 21, 2022Updated 3 years ago
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆295Feb 24, 2021Updated 5 years ago
- lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.☆378Nov 19, 2022Updated 3 years ago
- ROS package for robot learning☆17Oct 16, 2019Updated 6 years ago
- DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow,…☆122Dec 18, 2020Updated 5 years ago
- PyTorch implementation of FQF, IQN and QR-DQN.☆189Jul 25, 2024Updated last year
- A TensorFlow implementation of DeepMind's A Distributional Perspective on Reinforcement Learning.(C51-DQN)☆57Aug 25, 2017Updated 8 years ago
- Reinforcement learning algorithms implemented for Tensorflow 2.0+ [DQN, DDPG, AE-DDPG, SAC, PPO, Primal-Dual DDPG]☆315Sep 28, 2022Updated 3 years ago
- Separating value functions across time-scales.☆17May 13, 2019Updated 6 years ago
- The implementation of Discriminator Soft Actor Critic☆15Jan 25, 2020Updated 6 years ago
- ☆17Mar 30, 2024Updated last year
- A reinforcement learning algorithm for the 2048 game☆20Mar 25, 2014Updated 11 years ago
- References at the Intersection of Causality and Reinforcement Learning☆90Aug 19, 2020Updated 5 years ago
- Code for "Unsupervised State Representation Learning in Atari"☆259Nov 2, 2023Updated 2 years ago
- PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)☆254May 3, 2020Updated 5 years ago
- Source code for the paper "Divergence-Augmented Policy Optimization"☆37Nov 28, 2019Updated 6 years ago
- Tensorflow implementation of 'Asynchronous Methods for Deep Reinforcement Learning'☆13Dec 23, 2016Updated 9 years ago
- ☆18Jan 4, 2021Updated 5 years ago
- ☆11Mar 4, 2021Updated 5 years ago
- RC-NFQ: Regularized Convolutional Neural Fitted Q Iteration. A batch algorithm for deep reinforcement learning. Incorporates dropout regu…☆12Mar 17, 2021Updated 4 years ago
- Code for the paper "Phasic Policy Gradient"☆267Apr 2, 2023Updated 2 years ago
- Cross Entropy Method implemented in pytorch☆37Mar 1, 2022Updated 4 years ago
- CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning☆600Oct 28, 2020Updated 5 years ago
- TensorFlow2 Reinforcement Learning☆476Feb 13, 2022Updated 4 years ago
- [ICML 2022] Robust Task Representations for Offline Meta-Reinforcement Learning via Contrastive Learning☆40Aug 17, 2022Updated 3 years ago
- Minimal Monte Carlo Policy Gradient (REINFORCE) Algorithm Implementation in Keras☆160Dec 26, 2019Updated 6 years ago
- Distributed A3C☆34Dec 22, 2017Updated 8 years ago
- A Multi-agent Learning Framework☆62May 10, 2021Updated 4 years ago