MarcoMeter / recurrent-ppo-truncated-bptt
Baseline implementation of recurrent PPO using truncated BPTT
☆118Updated 4 months ago
Related projects: ⓘ
- Clean baseline implementation of PPO using an episodic TransformerXL memory☆137Updated 3 months ago
- PyTorch implementation of the Option-Critic framework, Harb et al. 2016☆113Updated last month
- Prioritized Experience Replay implementation with proportional prioritization☆67Updated last year
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing☆133Updated last month
- Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.☆146Updated last year
- Level-based Foraging (LBF): A multi-agent environment for RL☆152Updated this week
- Implementation of 'RL^2: Fast Reinforcement Learning via Slow Reinforcement Learning'☆54Updated 2 years ago
- Author's PyTorch implementation of TD7 for online and offline RL☆108Updated last year
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆150Updated 2 years ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆128Updated 5 years ago
- Partially Observable Process Gym☆158Updated 2 months ago
- Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.☆92Updated 4 years ago
- Author's PyTorch implementation of TD3+BC, a simple variant of TD3 for offline RL☆311Updated 2 years ago
- 🤖 Elegant implementations of offline safe RL algorithms in PyTorch☆161Updated this week
- 🚀 A fast safe reinforcement learning library in PyTorch☆150Updated this week
- PyTorch implementation of the Offline Reinforcement Learning algorithm CQL. Includes the versions DQN-CQL and SAC-CQL for discrete and co…☆117Updated 4 months ago
- Deep Transformer Q-Networks for Partially Observable Reinforcement Learning☆130Updated 2 months ago
- PyTorch implementation of GAIL and AIRL based on PPO.☆182Updated 3 years ago
- Simple (but often Strong) Baselines for POMDPs in PyTorch, ICML 2022☆293Updated 3 weeks ago
- The implementation of LSTM-TD3.☆60Updated last year
- Gridworld for MARL experiments☆137Updated 3 years ago
- Datasets with baselines for offline multi-agent reinforcement learning.☆125Updated this week
- An easy PyTorch implementation of "Stabilizing Transformers for Reinforcement Learning"☆168Updated last year
- Implementation of Truncated Quantile Critics method for continuous reinforcement learning. https://bayesgroup.github.io/tqc/☆90Updated 3 years ago
- A collection of Deep Reinforcement Learning algorithms implemented with PyTorch to solve Atari games and classic control tasks like CartP…☆99Updated 6 months ago
- ☆187Updated last year
- Diversity is All You Need: Learning Skills without a Reward Function in PyTorch.☆60Updated 10 months ago
- Implementation of HIRO (Data-Efficient Hierarchical Reinforcement Learning)☆87Updated 3 years ago
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆34Updated 4 years ago
- DEPRECATED - please visit https://github.com/vwxyzjn/ppo-implementation-details☆44Updated 2 years ago