facebookresearch / controllable_agentLinks
The Controllable Agent project trains RL Agents able to optimize any reward function specified in real time, without any further learning or fine-tuning. Training is reward-free and based on the Forward-Backward representation.
☆70Updated 2 years ago
Alternatives and similar repositories for controllable_agent
Users that are interested in controllable_agent are comparing it to the libraries listed below
Sorting:
- ☆52Updated 2 years ago
- ExORL: Exploratory Data for Offline Reinforcement Learning☆117Updated 3 years ago
- Deep Hierarchical Planning from Pixels☆109Updated 2 years ago
- Public code for "Reinforcement Learning from Passive Data via Latent Intentions"☆89Updated last year
- Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective☆81Updated 2 years ago
- Code for "Unsupervised Zero-Shot RL via Functional Reward Representations"☆57Updated last year
- Reinforcement Learning via Supervised Learning☆72Updated 3 years ago
- METRA: Scalable Unsupervised RL with Metric-Aware Abstraction (ICLR 2024)☆78Updated 2 years ago
- CIC: Contrastive Intrinsic Control for Unsupervised Skill Discovery☆81Updated 3 years ago
- Evaluating long-term memory of reinforcement learning algorithms☆151Updated 2 years ago
- MTM Masked Trajectory Models for Prediction, Representation, and Control.☆159Updated 2 years ago
- off-policy RL on long sequences☆147Updated 3 months ago
- Foundation Policies with Hilbert Representations (ICML 2024)☆101Updated last month
- EARL: Environment for Autonomous Reinforcement Learning☆37Updated 2 years ago
- Fast reinforcement learning research☆61Updated 11 months ago
- Code for "Learning to Reach Goals via Iterated Supervised Learning"☆80Updated 3 years ago
- Skeleton for scalable and flexible Jax RL implementations☆90Updated 2 years ago
- Code for "Planning Goals for Exploration", ICLR2023 Spotlight. An unsupervised RL agent for hard exploration tasks.☆78Updated last year
- Proto-RL: Reinforcement Learning with Prototypical Representations☆85Updated 3 years ago
- Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations☆111Updated last year
- Code release for Efficient Planning in a Compact Latent Action Space (ICLR2023) https://arxiv.org/abs/2208.10291.☆110Updated 2 years ago
- Predictable MDP Abstraction for Unsupervised Model-Based RL (ICML 2023)☆32Updated 2 years ago
- HIQL: Offline Goal-Conditioned RL with Latent States as Actions (NeurIPS 2023)☆91Updated 11 months ago
- Transformer-based World Models☆86Updated 2 years ago
- Extreme Q-Learning: Max Entropy RL without Entropy☆87Updated 2 years ago
- Discovering and Achieving Goals via World Models, NeurIPS 2021☆86Updated last year
- Conservative Q learning in Jax☆55Updated 2 years ago
- My Body Is A Cage☆41Updated 4 years ago
- Implementations of Temporal Difference InfoNCE (TD InfoNCE)☆33Updated 2 years ago
- Challenging Memory-based Deep Reinforcement Learning Agents☆104Updated last year