saiboxx / offline-reinforcement-learningLinks
Exploring algorithms in the domain of offline reinforcement learning (REM, Ensemble-DQN, DQN, ...)
☆17Updated 5 years ago
Alternatives and similar repositories for offline-reinforcement-learning
Users that are interested in offline-reinforcement-learning are comparing it to the libraries listed below
Sorting:
- Delayed RL agent for non-Atari tasks, from "Acting in Delayed Environments with Non-Stationary Markov Policies", ICLR 2021.☆14Updated 2 years ago
- Project exploring Multi Task Deep Reinforcement Learning neural network architectures and algorithms with Open AI Gym and TensorFlow☆17Updated 7 years ago
- PyTorch implementation of D4PG with the SOTA IQN Critic instead of C51. Implementation includes also the extensions Munchausen RL and D2R…☆24Updated 4 years ago
- PyTorch implementation of discrete version of Soft Actor-Critic.☆36Updated 4 years ago
- DecentralizedLearning☆25Updated 3 years ago
- Value-Decomposition Multi-Agent Actor-Critics☆42Updated 3 years ago
- Collection of OpenAI parametrized action-space environments.☆69Updated 10 months ago
- Experiments to train transformer network to master reinforcement learning environments.☆32Updated 4 years ago
- Multi-Objective Deep Reinforcement Learning☆45Updated 9 years ago
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆41Updated 5 years ago
- Evolution-based Soft Actor-Critic (ESAC)☆42Updated last year
- A novel preference-driven multi-objective reinforcement learning algorithm using a single policy network that covers the entire preferenc…☆39Updated 2 years ago
- (AAAI 2018) Action Branching Architectures for Deep Reinforcement Learning☆121Updated 3 years ago
- Modified CartPole-v0 OpenAI Gym environment with various noisy cases and Reinforcement Learning based controller☆10Updated 8 years ago
- Combining Evolutionary Algorithms and deep Reinforcement Learning☆19Updated 7 years ago
- ☆20Updated 3 years ago
- Official code of Nash-DQN for paper: Nash-DQN algorithm for two-player zero-sum Markov games, details see our paper: A Deep Reinforcement…☆20Updated 3 years ago
- A Pytorch Implementation of Multi Agent Soft Actor Critic☆43Updated 7 years ago
- Simulation environments for Multi-Objective Reinforcement Learning (MORL)☆17Updated 3 years ago
- Multi-Objective Reinforcement Learning components built on top of RL glue components☆29Updated 2 years ago
- Experiments with transformer based RL algorithms☆22Updated 6 years ago
- Soft Actor-Critic with advanced features☆51Updated last month
- Multi-Objective Reinforcement Learning sandbox☆12Updated 4 years ago
- Code for Dynamic Weights in Multi-Objective Deep Reinforcement Learning☆104Updated 2 years ago
- Implementation of centralized training, centralized execution of Soft Actor-Critic (SAC) on a Tennis multiagent Unity environment.☆41Updated 4 years ago
- Attention-based Curiosity-driven Exploration in Deep Reinforcement Learning☆29Updated 6 years ago
- ☆27Updated 5 years ago
- Modular Multi-Objective Reinforcement Learning with Decision Values☆25Updated 3 years ago
- An implementation of Deep Q-Learning from Demonstrations (DQfD) for playing Atari 2600 video games☆32Updated 3 years ago
- Safe Reinforcement Learning in Constrained Markov Decision Processes☆61Updated 5 years ago