RLC 2024

August 9 - 12, 2024

RLC 2024

Amherst MA, USA

REINFORCEMENT LEARNING CONFERENCE 2024

The first Reinforcement Learning Conference (RLC) will be held in Amherst, Massachusetts from August 9–12, 2024. RLC is an annual international conference focusing on reinforcement learning. RLC provides an archival venue where reinforcement learning researchers can interact and share their research in a more focused setting than typical large machine learning venues. The RLC peer review process prioritizes rigorous methodology over perceived importance, aiming to foster scholarly discussions on both well-established and emerging topics in RL. Papers accepted by RLC are published as articles in the Reinforcement Learning Journal (RLJ).

---

Keynote

Date:

August 12, 2024

Time:

1:00 pm PST

---

Workshop

Workshop 01

Workshop on Reinforcement Learning Beyond Rewards

Reinforcement learning has been widely successful in solving particular tasks defined with a reward function - from superhuman Go playing to magnetic confinement for plasma control. On the other hand, creating a generalist RL agent poses the unresolved question of what agent can learn not just from reward-defined environments, but from the often substantial quantity of reward-free interactions with the environment. This question has been explored recently and has taken diverse forms—learning representations that are action-free, causal, predictive, and contrastive; learning from large-scale action-free datasets; learning exploration using intrinsic reward and skill discovery; learning policies that are arbitrary goal-reaching, language-conditioned, policies optimal for distribution of reward function, or even optimal for all reward functions; learning intent from datasets using a variety of learning signals like preferences, rankings, expert, and human cues; learning imitative foundational action models. The RLBrew workshop focuses on this setting of reward-free RL. Considering the wide variety of possibilities for RL beyond rewards, we aim to bring a set of diverse opinions to the table to spark discussion about the right questions and novel tools to introduce new capabilities for RL agents in the reward-free setting.

Date:

August 9, 2024

Sony AI Participants:

Akanksha Saran

Workshop 02

Deployable RL: From Research to Practice

Real-world applications pose distinct challenges for decision-making algorithms, especially during the deployment phase. These include high-dimensional observation and action spaces, tasks that may be partially observable or non-stationary, and feedback that is often unspecified, delayed, or corrupted. Furthermore, feedback rarely comes in the form of a scalar reward function, exploration is often prohibitively costly, and safety considerations are a prerequisite for trained models to be deployed.

Date:

August 9, 2024

Sony AI Participants:

Kaushik Subramanian

---

Publications

Publication 01

A Super-human Vision-based Reinforcement Learning Agent for Autonomous Racing in Gran Turismo

---

Recruiting Information

Recruiting Information

We look forward to working with highly motivated individuals to fill the world with emotion and to pioneer future innovation through dreams and curiosity. With us, you will be welcomed onto diverse, innovative, and creative teams set out to inspire the world.

At this time, the full-time and internship roles previously listed on this page are closed. Please see all other open positions through the links below.

NOTE: For those interested in Japan-based full-time and internship opportunities, please note the following points and benefits

• Japanese language skills are NOT required, as your work will be conducted in English.
• Regarding Japan-based internships, please note that they are paid, and that we additionally cover round trip flights, visa expenses, commuting expenses, and accommodation expenses as part of our support package.
• Regarding Japan-based full-time roles, in addition to your compensation and benefits package, we cover your flight to Japan, shipment of your belongings to Japan, visa expenses, commuting expenses, and more!