DarylRodrigo / rl_lib
Series of deep reinforcement learning algorithms 🤖
☆29Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for rl_lib
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing☆133Updated 3 months ago
- Deep Reinforcement Learning for Continuous Control in PyTorch☆93Updated 2 years ago
- A collection of pre-trained RL agents using Stable Baselines3☆105Updated 2 weeks ago
- Minimal implementation of multi-agent reinforcement learning algorithms☆50Updated 3 years ago
- Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO☆192Updated 2 years ago
- DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow,…☆120Updated 3 years ago
- PyTorch implementation of FQF, IQN and QR-DQN.☆161Updated 3 months ago
- A collection of Deep Reinforcement Learning algorithms implemented with PyTorch to solve Atari games and classic control tasks like CartP…☆106Updated 9 months ago
- Random network distillation on Montezuma's Revenge and Super Mario Bros.☆43Updated last year
- Codes accompanying the paper "ROMA: Multi-Agent Reinforcement Learning with Emergent Roles" (ICML 2020 https://arxiv.org/abs/2003.08039)☆149Updated last year
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆133Updated 5 years ago
- Level-based Foraging (LBF): A multi-agent environment for RL☆161Updated 2 months ago
- Gridworld for MARL experiments☆137Updated 3 years ago
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆157Updated 2 years ago
- Combining Evolutionary Algorithms and deep RL in various ways☆99Updated 4 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆296Updated 3 years ago
- Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.☆94Updated 4 years ago
- Deep Reinforcement Learning Framework done with PyTorch☆30Updated this week
- PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.☆140Updated 3 years ago
- Implementation of Truncated Quantile Critics method for continuous reinforcement learning. https://bayesgroup.github.io/tqc/☆90Updated 3 years ago
- Deep Transformer Q-Networks for Partially Observable Reinforcement Learning☆148Updated 4 months ago
- Proximal Policy Optimization with Beta distribution - uses multi agent Unity ML Tennis☆28Updated 5 years ago
- Soft Actor-Critic with advanced features☆47Updated last month
- Prioritized Experience Replay implementation with proportional prioritization☆69Updated last year
- Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC☆96Updated 5 years ago
- Experiments with reinforcement learning and recurrent neural networks☆113Updated last year
- Curiosity-driven Exploration by Self-supervised Prediction☆134Updated last year
- JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"☆99Updated 2 years ago
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆38Updated 4 years ago
- Playing Mountain-Car without reward engineering, by combining DQN and Random Network Distillation (RND)☆40Updated 5 years ago