mit-gfx / PGMORLLinks
[ICML 2020] Prediction-Guided Multi-Objective Reinforcement Learning for Continuous Robot Control
☆121Updated 4 years ago
Alternatives and similar repositories for PGMORL
Users that are interested in PGMORL are comparing it to the libraries listed below
Sorting:
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆180Updated 3 years ago
- Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.☆172Updated 10 months ago
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing☆134Updated 2 weeks ago
- PyTorch implementation of the Offline Reinforcement Learning algorithm CQL. Includes the versions DQN-CQL and SAC-CQL for discrete and co…☆141Updated last year
- Implementation of HIRO (Data-Efficient Hierarchical Reinforcement Learning)☆112Updated 4 years ago
- PyTorch implementation of the Option-Critic framework, Harb et al. 2016☆133Updated last year
- 🚀 A fast safe reinforcement learning library in PyTorch☆211Updated 11 months ago
- Author's Pytorch implementation of ICLR2023 paper Behavior Proximal Policy Optimization (BPPO).☆88Updated last year
- Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery☆104Updated 3 years ago
- Collection of OpenAI parametrized action-space environments.☆66Updated 5 months ago
- Official PyTorch code for "Recurrent Off-policy Baselines for Memory-based Continuous Control" (DeepRL Workshop, NeurIPS 21)☆88Updated last year
- Author's PyTorch implementation of TD7 for online and offline RL☆148Updated 2 years ago
- 🤖 Elegant implementations of offline safe RL algorithms in PyTorch☆211Updated last year
- DSAC; Distributional Soft Actor-Critic☆131Updated 7 months ago
- Baseline implementation of recurrent PPO using truncated BPTT☆151Updated last year
- Single-file pytorch implementation of hybrid-SAC☆59Updated 4 years ago
- Deep Transformer Q-Networks for Partially Observable Reinforcement Learning☆165Updated last year
- Author's PyTorch implementation of TD3+BC, a simple variant of TD3 for offline RL☆373Updated 3 years ago
- A collection of offline reinforcement learning algorithms.☆196Updated 9 months ago
- Random network distillation on Montezuma's Revenge and Super Mario Bros.☆52Updated 4 months ago
- Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322)☆51Updated 2 years ago
- Deep Reinforcement Learning for Continuous Control in PyTorch☆104Updated 3 years ago
- Simple (but often Strong) Baselines for POMDPs in PyTorch, ICML 2022☆331Updated last year
- Diversity is All You Need: Learning Skills without a Reward Function in PyTorch.☆74Updated last year
- ☆122Updated 2 years ago
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆40Updated 5 years ago
- Policy Expansion for Bridging Offline-to-Online Reinforcement Learning (ICLR23)☆60Updated 2 years ago
- Combining Evolutionary Algorithms and deep RL in various ways☆105Updated 4 years ago
- Implementation of 'RL^2: Fast Reinforcement Learning via Slow Reinforcement Learning'☆67Updated 3 years ago
- Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.☆97Updated 5 years ago