Author's PyTorch implementation of TD3+BC, a simple variant of TD3 for offline RL
☆395Dec 18, 2021Updated 4 years ago
Alternatives and similar repositories for TD3_BC
Users that are interested in TD3_BC are comparing it to the libraries listed below
Sorting:
- ☆317Jan 23, 2022Updated 4 years ago
- Conservative Q Learning on top of SAC☆138Oct 15, 2022Updated 3 years ago
- A collection of reference environments for offline reinforcement learning☆1,656Nov 18, 2024Updated last year
- Code for conservative Q-learning☆474Dec 7, 2021Updated 4 years ago
- Author's PyTorch implementation of BCQ for continuous and discrete actions☆657Apr 6, 2021Updated 4 years ago
- Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.☆176Nov 14, 2024Updated last year
- An index of algorithms for offline reinforcement learning (offline-rl)☆1,054May 23, 2024Updated last year
- Code for MOPO: Model-based Offline Policy Optimization☆191May 17, 2022Updated 3 years ago
- An offline deep reinforcement learning library☆1,645Sep 10, 2025Updated 5 months ago
- Author's PyTorch implementation of TD3 for OpenAI gym tasks☆2,034Jul 14, 2023Updated 2 years ago
- A PyTorch implementation of Implicit Q-Learning☆95Oct 23, 2021Updated 4 years ago
- Official PyTorch implementation of "Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble" (NeurIPS'21)☆79Aug 14, 2022Updated 3 years ago
- ☆80Dec 9, 2022Updated 3 years ago
- High-quality single-file implementations of SOTA Offline and Offline-to-Online RL algorithms: AWAC, BC, CQL, DT, EDAC, IQL, SAC-N, TD3+BC…☆1,329Aug 3, 2023Updated 2 years ago
- Code for Stabilizing Off-Policy RL via Bootstrapping Error Reduction☆163Jul 17, 2020Updated 5 years ago
- Co-Adaptation of Algorithmic and Implementational Innovations in Inference-based Deep Reinforcement Learning (NeurIPS2021)☆20Oct 25, 2021Updated 4 years ago
- Conservative Q learning in Jax☆57Feb 7, 2023Updated 3 years ago
- Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.☆2,773Apr 29, 2024Updated last year
- Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations☆113May 27, 2024Updated last year
- JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.☆752Oct 26, 2022Updated 3 years ago
- Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning☆29Feb 21, 2022Updated 4 years ago
- CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning☆600Oct 28, 2020Updated 5 years ago
- ☆89Jul 30, 2024Updated last year
- Generalized Decision Transformer for Offline Hindsight Information Matching (ICLR2022)☆70Aug 8, 2022Updated 3 years ago
- Code accompanying the paper Adversarially Trained Actor Critic for Offline Reinforcement Learning by Ching-An Cheng*, Tengyang Xie*, Nan …☆72Feb 2, 2023Updated 3 years ago
- Codebase of Deployment-Efficient Reinforcement Learning via Model-Based Offline Optimization (ICLR2021)☆54Jul 7, 2021Updated 4 years ago
- Collection of reinforcement learning algorithms☆2,868Jun 17, 2024Updated last year
- ☆44Sep 19, 2021Updated 4 years ago
- Author's PyTorch implementation of TD7 for online and offline RL☆161Sep 12, 2023Updated 2 years ago
- Codes accompanying the paper "Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning" (NeurIPS…☆74Oct 18, 2022Updated 3 years ago
- [ICLR 2023 Oral] The official implementation of SQL and EQL in "Offline RL with No OOD Actions: In-Sample Learning via Implicit Value Reg…☆47Jul 27, 2023Updated 2 years ago
- Author's PyTorch implementation of LAP and PAL with TD3 and DDQN☆39Dec 7, 2021Updated 4 years ago
- Offline Reinforcement Learning (aka Batch Reinforcement Learning) on Atari 2600 games☆560Jun 26, 2023Updated 2 years ago
- An elegant PyTorch offline reinforcement learning library for researchers.☆383Jul 11, 2025Updated 7 months ago
- ☆202Mar 25, 2023Updated 2 years ago
- Code for the paper "Offline Reinforcement Learning as One Big Sequence Modeling Problem"☆530Oct 6, 2022Updated 3 years ago
- ExORL: Exploratory Data for Offline Reinforcement Learning☆129Feb 8, 2022Updated 4 years ago
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,405Nov 29, 2023Updated 2 years ago
- Unofficial PyTorch implementation (replicating paper results) of Implicit Q-Learning (In-sample Q-Learning) for offline RL☆24Nov 4, 2024Updated last year